Data Visualization Jobs

I’m looking for a skilled data scientist who can take my raw cell-viability assay output and turn it into clear, publication-ready insights using Python, specifically Pandas for wrangling and Seaborn for plotting. The focus of this job is straightforward: perform comprehensive descriptive statistics on each experimental group or time point, visualise the results in an intuitive way, and give me a short written interpretation of what the numbers mean biologically. You will start from the CSV files I provide, tidy them as needed, calculate essentials such as mean, median, standard deviation, coefficient of variation and 95 % confidence intervals, then visualise the findings (e.g. boxplots, bar charts with error bars). All code should be organised in a well-commented Jupyter notebook s...

Research Paper on Earnings Management & Private Equity Exits I am looking for an experienced academic researcher to develop a high-quality empirical research paper in corporate finance / accounting on the following topic: To investigate the interplay between earnings management and the process of Private Equity (PE) exits. Specifically, the paper should address: 1: Whether firms approaching PE exits engage in accrual-based vs real activity manipulation 2: How prior funding history influences such behavior 3: How fund-level incentives (e.g., fundraising pressure, reputation concerns) shape reporting choices Scope of Work 1. Literature Review Comprehensive review of foundational + recent (last 5–7 years) studies Coverage of earnings management (accrual & real), PE-backe...

I need an end-to-end Excel solution that turns my raw operational data into clear, action-oriented insights. The workbook should import or paste data easily, clean it behind the scenes, then surface the story through a mix of charts, pivot tables, and an interactive dashboard. Here’s what I expect to receive: • A structured data model ready for refresh without breaking formulas or links • Dynamic pivot tables that let me slice performance by date, department, and any additional fields you spot as valuable • Visually consistent charts and graphs that highlight trends, outliers, and KPI progress • A dashboard page with slicers, drop-downs, or buttons so non-technical users can explore the numbers themselves • Clear documentation of any VBA, Power Q...

My existing Power BI report pulls several large tables from Microsoft Dynamics 365 Business Central through the standard API. The model works, but the scheduled refresh now fails with frequent time-outs; reliability is my biggest concern. So far I have: • enabled incremental refresh on the largest tables • tuned a handful of queries • experimented with splitting data into smaller API calls None of these measures has eliminated the failure. I need an expert who can: 1. pinpoint the exact bottleneck within the current data model, gateway settings, or API calls 2. redesign the retrieval strategy so the report finishes every refresh window without timing out 3. leave me with a clean, documented PBIX (or dataflow) that follows best practice for query folding, partitioning, and ...

I’m ready to pick up an iPhone 17 Pro Max but prefer buying it through one of my usual brick-and-mortar stores rather than online. What I need is clear, data-driven guidance on the very best in-store price currently available. Here’s what I’m after: • A short comparison of prices, promos, and bundle options for the iPhone 17 Pro Max offered by my preferred local retailer(s). • Confirmation of stock availability and any extra perks they’re quietly offering in-store (e.g., trade-in top-ups, extended AppleCare discounts, instalment plans, or free accessories). • A concise summary that lets me see at a glance which branch, date, or salesperson gives me the optimal deal and how much I actually save versus standard retail. I’ll share the store n...

I need a clear, insight-driven analysis of my customer data with one objective in mind: pinpoint where we can lift overall satisfaction. You’ll receive anonymised purchase history, support-ticket logs, and survey scores in CSV format; from there I expect you to uncover trends, pain points, and the factors most strongly correlated with happy—or unhappy—customers. Your final hand-off should include: • A concise written summary of key findings, plainly tied to customer-experience improvements • Visualisations or dashboards that let a non-analyst grasp the story quickly • Actionable recommendations ranked by impact and effort SQL and either Python (pandas, scikit-learn) or R are the preferred tools, but if you have a proven workflow in something else th...

I already hold a raw-data workbook that lists each product, its department and the associated revenue, plus a separate sheet with customer details. What I need now is to turn those rows into insight while watching the entire process in real time. Here is what I want us to tackle together: • Spot revenue trends month-over-month and year-over-year. • Compare product sales by department so I can instantly see top and under-performers. • Layer in customer demographics to explain the “why” behind the numbers. We will meet on Zoom or Teams, share screen, and co-build both an Excel model (pivot tables, slicers and chart dashboards) and a Power BI report (clean data model, DAX measures, interactive visuals). I will be asking questions throughout, so please be c...

I have a set of source documents that contain both narrative details and numeric figures, all of which must be transcribed into a Google Sheets workbook designed for ongoing financial tracking. Every row will hold mixed data—descriptive text in some columns, numbers in others—so accuracy on both fronts is critical. Beyond clean data entry, the sheet must automatically calculate key performance indicators using the built-in IRR and NPV functions. Once the records are in place I should be able to adjust any cash-flow figure and see the updated returns instantly, so please structure the worksheet with clear cash-in, cash-out and date columns linked to those formulas. Deliverables • Fully populated Google Sheets file with all source data entered exactly as provided &bull...

The Supply Chain department at PepsiCo Peru is seeking a specialist in Microsoft Power Apps, Power BI, Excel, and SharePoint to implement a data integration and synchronization solution between Excel files and an application developed in Power Apps. The objective of this project is to improve the recording and tracking of operational process times within the Logistics and Warehousing department through the use of integrated digital tools. **Project Context** We currently utilize an Excel file in XLSM format, which contains macros and operational logic used by the team. This file is stored on SharePoint and constitutes an integral part of the department's workflow. To enable integration with Power Apps, it is necessary to design and build an architecture that allows for data entry vi...

I have a set of source documents that contain both narrative details and numeric figures, all of which must be transcribed into a Google Sheets workbook designed for ongoing financial tracking. Every row will hold mixed data—descriptive text in some columns, numbers in others—so accuracy on both fronts is critical. Beyond clean data entry, the sheet must automatically calculate key performance indicators using the built-in IRR and NPV functions. Once the records are in place I should be able to adjust any cash-flow figure and see the updated returns instantly, so please structure the worksheet with clear cash-in, cash-out and date columns linked to those formulas. Deliverables • Fully populated Google Sheets file with all source data entered exactly as provided &bull...

I need help pulling both numbers and text from a set of online databases and websites I will share with you, then entering that information neatly into the spreadsheet template I provide. Accuracy is everything—figures must match the source, wording has to stay consistent, and links should be preserved for quick reference. Once the data section is complete, the second part of the job is to turn those findings into concise reports or executive-style summaries. Each summary should highlight the key metrics, notable trends, and any outliers worth flagging. Think of it as giving me the “story” behind the spreadsheet so I can brief stakeholders without drowning them in raw tables. Deliverables • Completed spreadsheet populated with mixed data (numeric and text) &bul...

I have a single Excel workbook and a keyword that identifies the companies I care about. Once you receive both, you’ll need to: • Filter the sheet so that only rows whose company field exactly matches the term remain. • Pull out only the columns I list for you, while keeping them separated by USA state • Export the result as a clean, comma-separated CSV with UTF-8 encoding. The file should open in any spreadsheet program without extra formatting characters, blank rows, or hidden columns. This is a straightforward, fixed-price task—no web scraping required unless you find it faster for yourself. Please return the finished CSV and, if you use a script, the short script or notebook so I can reproduce the steps later.

I have a set of source documents that contain both narrative details and numeric figures, all of which must be transcribed into a Google Sheets workbook designed for ongoing financial tracking. Every row will hold mixed data—descriptive text in some columns, numbers in others—so accuracy on both fronts is critical. Beyond clean data entry, the sheet must automatically calculate key performance indicators using the built-in IRR and NPV functions. Once the records are in place I should be able to adjust any cash-flow figure and see the updated returns instantly, so please structure the worksheet with clear cash-in, cash-out and date columns linked to those formulas. Deliverables • Fully populated Google Sheets file with all source data entered exactly as provided &bull...

I have an up-to-date digital model of our facility, yet I’ve never taken the next step into true BIM-based asset management or a live Digital Twin. My goal is to turn that existing model into a practical maintenance tool that lets me track every piece of equipment, monitor energy performance in real time, and make data-driven decisions without getting lost in technical jargon. Here’s what I need from you: • Assess the current model to confirm it is twin-ready and map every asset with the right metadata. • Connect, or at least prototype the connection to, energy-usage data (BMS, IoT meters, or similar) so the twin reflects live consumption. • Build intuitive dashboards or reports for asset tracking, fault history, and energy trends—preferably in a pla...

I need an Excel model for financial forecasting, specifically for patient modeling. Key Requirements: - Financial forecasting expertise - Experience in patient modeling - Proficiency in Excel Ideal Skills and Experience: - Strong background in financial modeling - Familiarity with healthcare data and metrics - Advanced Excel skills, including formulas and data visualization Please provide examples of similar work done.

I want a clean, interactive portfolio chart that shows my cryptocurrency holdings directly on my website. The component must be fully responsive and tested on iOS, as most of my audience will view it from iPhones or an eventual native wrapper. Smooth pinch-zoom, tap-to-view data points, and dark/light theme switching are essential. Live price updates should come from a standard crypto market API (CoinGecko, CoinMarketCap, etc.), but keep the logic abstract enough so I can swap feeds later without rewriting the front end. I already have endpoints that return my wallet balances in JSON, so the chart just needs to consume that feed, merge it with live prices, and display: • A time-series line chart of portfolio value • A current allocation pie or doughnut chart • Percenta...

I need a single, well-structured spreadsheet that lets me pull data from our in-house bank records (entered manually) and automatically compare the premium amounts collected against the figures agreed with the underwriter. From that same data set the file should: • Flag any variance between collected and expected premiums • Roll the confirmed figures into a clean monthly summary tab that totals each premium class and shows an overall month-end figure • Generate a ready-to-send report for the underwriter each month (ideally formatted so I can PDF it straight from the sheet) At this stage the only source you have to deal with is the manually entered bank records—no extra validation rules are required beyond the standard accuracy that comes with solid formulas and c...

I need a concise 4-5 page empirical study that tracks how the EUR/USD exchange rate has moved in relation to the euro-dollar interest-rate differential. I ll provide the exact details on a pdf file.

I want a clean, interactive portfolio chart that shows my cryptocurrency holdings directly on my website. The component must be fully responsive and tested on iOS, as most of my audience will view it from iPhones or an eventual native wrapper. Smooth pinch-zoom, tap-to-view data points, and dark/light theme switching are essential. Live price updates should come from a standard crypto market API (CoinGecko, CoinMarketCap, etc.), but keep the logic abstract enough so I can swap feeds later without rewriting the front end. I already have endpoints that return my wallet balances in JSON, so the chart just needs to consume that feed, merge it with live prices, and display: • A time-series line chart of portfolio value • A current allocation pie or doughnut chart • Percenta...

I'm looking for a single-page flowchart that illustrates the history of different types of blues music, and I'm planning to gift it. The design is based on a similar flowchart of beer types (image below). The center will have an illustration BB King's guitar (Lucille). The blues types/styles/artists are based on this article:

I’ll hand over a collection of raw sales CSVs pulled from our e-commerce platform and in-store POS. Your task is to transform that scattered information into clear revenue-trend insights I can share with the team. The work begins with cleaning: check for duplicate rows, fix date formats, and make sure every transaction lines up with the correct SKU and sales channel. Once the data is tidy, consolidate it into a single worksheet and start analysing month-over-month, quarter-to-date, and year-to-date performance. I’m especially interested in spotting revenue spikes, slow periods, and any patterns that could help us forecast more accurately. Deliverables I need from you: • A fully cleaned and consolidated Excel or Google Sheets file containing all sales data • Visual...

HIRING NOW PLUS CONTINUED WORK AFTER THIS INITIAL DELIVERABLE. Before applying please read all instructions to get a response. I keep all of our performance and financial figures in a few well-structured Google Sheets. What I need now is a set of eye-catching, interactive dashboards in Google Looker Studio that pull live from those sheets and summarise the numbers through clear charts and graphs. I HAVE THESE SKETCHED OUT ALREADY AS A ROUGH CONCEPT WITH DETAILS. NEED SOMEONE TO MAKE THEM LIVE. Deliverables • A few Looker Studio reports (or set of pages) connected to the provided Google Sheets, refreshing automatically • Visuals that separate performance KPIs from financial snapshots, each with intuitive drill-downs and filters • A short hand-off note or loom rec...

I need assistance with cleaning and analyzing survey data for research on postpartum anxiety. Data Cleaning Tasks: - Identifying and handling missing values - Dealing with non-normally distributed data Data Analysis Tasks: - Descriptive statistics - Inferential statistics - Regression analysis Mediation analysis using PROCESS MACRO Ideal Skills & Experience: - Proficiency in statistical software (e.g., R, SPSS, MPlus) - Strong background in handling survey data - Experience with research data analysis - Knowledge of postpartum anxiety research is a plus

I just need help setting up AI assistants using Openclaw on my new computer.

I’m ready to streamline the way my team handles project-based work inside Monday.com. The main objective is simple: turn Monday into a clear, dependable task-management hub where every project milestone is treated as a trackable item and its dependencies are impossible to miss. Here’s what I need built inside my existing account: • A board (or set of connected boards) dedicated to project milestones, laid out so each milestone appears as an individual task with start-to-finish ownership, due dates, and status columns. • Dependency tracking fully activated and visible—if Milestone B can’t start until Milestone A is complete, both the visual links and the automated logic should reflect that. • Smart automations for reminders, status changes, an...

I need a detailed and effective Profit and Loss spreadsheet to track my business transactions. I handle primarily sales and expenses and need this updated daily. Requirements: - Capture all sales, expense, and labor transactions - Daily update capability - User-friendly interface - Visual graphs for quick insights Ideal Skills: - Advanced Excel or Google Sheets proficiency - Experience with P&L statements - Attention to detail - Ability to deliver ASAP

**Key Skills** • Data Analysis using Python • Data Cleaning and Data Preprocessing • Exploratory Data Analysis (EDA) • Machine Learning Model Development • SQL for Data Querying and Data Management • Data Visualization using Matplotlib and Seaborn • Libraries: Pandas, NumPy, Scikit-learn • Problem Solving and Analytical Thinking • Clear Communication and Insight Reporting About Me : I am a data analyst and machine learning enthusiast with hands-on experience in analyzing datasets and extracting meaningful insights using Python and SQL. I specialize in data cleaning, exploratory data analysis, and building machine learning models that help identify patterns and support data-driven decision making. I work with tools and libraries such as Panda...

I need a comprehensive Excel tracker for real estate development that aligns the targets and statuses of multiple departments. This tool will help maintain control and ensure the smooth flow of activities. Essential Departments to Track: - Projects and Sales - Purchase and Finance - HR and Administration Data Visualization Requirements: - Tables with conditional formatting - Interactive dashboards Ideal Skills and Experience: - Proficiency in Microsoft Excel - Experience in creating complex trackers - Strong data visualization skills - Background in real estate or project management is a plus The final product should be user-friendly and provide clear insights into departmental performance against timelines and targets.

I need clear, data-backed insight into how moderate-income households earning roughly 80-120 % of Olympia’s Area Median Income are thinking about buying—or continuing to rent—middle-housing options (duplexes, triplexes, cottage courts, townhomes). The goal is to understand three things: • Their preferred home size and layout, with special attention to the exact mix of bedrooms and bathrooms they consider non-negotiable. • Whether must-have features such as a dedicated dining room, an upstairs laundry, and a flexible home-office space truly influence the decision to purchase. • How sensitive they are to price points compared with current rents and recent sales in comparable neighborhoods. To get there, I’m expecting a turnkey market-research ...

My deep-learning solution is already engineered and documented; what I still need is a clean, publication-ready architecture diagram that captures every layer and data flow exactly as specified. I will share detailed notes and sketches outlining inputs, processing blocks, and model components—your task is to translate them into a clear visual delivered as a high-resolution PNG. Accuracy matters more than artistic flair: every connection, tensor shape, and processing step must mirror the design I provide so the diagram can be dropped straight into our technical report. A short clarification call or chat at the start will let us agree on layout conventions (colors, fonts, arrow styles). One round of revisions is included to polish alignment and labelling. Deliverables • Final ...

I am preparing the second–year business plan for my aviation start-up and need a set of clear, fully referenced formatted in Word. You will receive last year’s figures (fleet details, operational spending, preliminary sales data, and marketing notes) to guide your assumptions; feel free to flag any gaps you spot so I can share the missing numbers promptly. The job revolves around six tables, each on its own page and built for easy copy-paste into a Word document: • Total operating costs: fleet lease/finance, parking, landing, and fuel, broken down by month and summed for the year. • Annual promotion & branding spend: itemised media channels, events, digital campaigns, aircraft livery, and contingency lines. • Full-year payroll: headcount, job titles, g...

I need a Power BI dashboard built to display customer data and costs. Requirements: - Connect to a SQL database. - Visualizations can be bar charts, pie charts, or line graphs, as applicable to the data. Ideal skills and experience: - Proficiency in Power BI. - Experience with SQL database integration. - Strong data visualization skills. No data analysis is required, just the dashboard setup.

I already hold a raw-data workbook that lists each product, its department and the associated revenue, plus a separate sheet with customer details. What I need now is to turn those rows into insight while watching the entire process in real time. Here is what I want us to tackle together: • Spot revenue trends month-over-month and year-over-year. • Compare product sales by department so I can instantly see top and under-performers. • Layer in customer demographics to explain the “why” behind the numbers. We will meet on Zoom or Teams, share screen, and co-build both an Excel model (pivot tables, slicers and chart dashboards) and a Power BI report (clean data model, DAX measures, interactive visuals). I will be asking questions throughout, so please be c...

I need an application developed for my Ph.D. thesis. The app should be built for both iOS and Android platforms. Key features: - User authentication - Data visualization - Offline mode Ideal skills and experience: - Mobile app development for iOS and Android - Experience with user authentication protocols - Expertise in data visualization techniques - Ability to implement offline functionality Please provide your relevant experience in your application.

Urgeent request (within next 2 hours) I need a Sankey chart to analyze data distribution using mixed data types. Requirements: - Visualize complex relationships and flows - Handle both categorical and numerical data - Provide clear, insightful visual representation Ideal Skills: - Experience with data visualization tools - Proficiency in handling mixed data types - Strong analytical skills Please include detailed project proposals in your application.

I’m preparing material for discussions with potential investors and need a clean, professional pitch deck that communicates a long-term waterfront development concept. The presentation should be visually consistent, restrained and professional — clean layouts, simple typography and a Scandinavian design style. The tone should feel factual and credible rather than overly promotional. The deck will focus on two main elements: • Company overview – a concise introduction to the company, the development concept and the long-term vision. • Financial overview – clear charts and visuals that present development phases and economic potential in a simple and understandable way. The goal is to create a polished presentation suitable for professional investor meet...

I have a rough system architecture sketch that urgently needs a polish so it clearly shows how our database layer can be tuned for better performance. The core of the exercise is to revisit the data flows, pinpoint latency hotspots, and illustrate an optimised structure—caching tiers, read/write segregation, indexing strategies—using a clean, professional diagram. You will start from my existing file (or import it into Lucidchart, Visio, or another tool you’re comfortable with) and reshape it into a concise, single-page system architecture diagram. The spotlight is entirely on the database component; server infrastructure and application logic can be represented at a high level only where they touch the data layer. Deliverables • Editable source file (, Lucidcha...

I’m building a web-based dashboard for a new cybersecurity product and I want users with zero technical background to open it and immediately “get the picture.” The interface’s core job is to visualize patterns and trends in threat data—think emerging attack vectors, shifting risk levels, or sudden spikes in anomalies—through engaging, instantly readable graphics. Design tone • Colorful and vibrant without slipping into visual noise. • Modern web aesthetic that differentiates us from the usual dark, matrix-style security tools. • Accessibility in both colour contrast and interaction cues so every chart or map is self-explanatory. Scope of work – Translate raw security data concepts into intuitive charts, heat maps, network ...

The project centers on a manually-entered sales spreadsheet that requires a full Excel-based analysis focused on monthly sales performance. I will supply the raw rows exactly as they come from our internal forms; they first need cleaning (duplicate checks, consistent date formatting, error spotting) before any insights can be trusted. Once the data is reliable, the workflow should move into sorting, filtering, and creating pivot tables that break revenue down by month, product line, and any other field that emerges as useful. Clear, professional charts—line, clustered column, or a pivot chart—must then visualise month-over-month results so trends and anomalies are unmistakable at a glance. Deliverables • Cleaned Excel file with all transformation steps traceable ...

Create a catering and decorating ERP excel speadsheet system structure which includes dashboard, total booking, upcoming events, monthly revenue, monthly expenses, net profit, vendor payments, staff salary, charts like revenue chart, expenses chart, event type chart, client database, event booking system, event calendar, menu database, event menu planner, raw material costing per programme menu or client, staff database with per day wise salary system, event decoration cost, decoration package, staff attendance, staff payroll, vendor database, vendor payment tracker, inventory, daybook, quotation generator, invoice generator, profit per event, reports, also add data validation dropdowns, xlookup, sumifs, countifs, conditional formatting, button for navigation, auto client from, auto invoic...

I need a reliable workflow that pulls Sales, Customer, and Inventory data from my Microsoft SQL Server into both Google Sheets and Excel on an automatic schedule. Once the feed is live, I want the data modeled and visualized in Google Data Studio so I can slice performance by product line, customer segment, and time period without manual intervention. The last piece is real-time, rule-based notifications that reach mobile devices—push or SMS—whenever metrics cross predefined thresholds (for example, daily sales drop below target, inventory hits a reorder point, or a new high-value customer signs up). Deliverables: • Scripted or no-code connector that syncs SQL Server to Google Sheets and an Excel workbook on OneDrive/SharePoint, running at set intervals. • A...

My existing Power BI report pulls several large tables from Microsoft Dynamics 365 Business Central through the standard API. The model works, but the scheduled refresh now fails with frequent time-outs; reliability is my biggest concern. So far I have: • enabled incremental refresh on the largest tables • tuned a handful of queries • experimented with splitting data into smaller API calls None of these measures has eliminated the failure. I need an expert who can: 1. pinpoint the exact bottleneck within the current data model, gateway settings, or API calls 2. redesign the retrieval strategy so the report finishes every refresh window without timing out 3. leave me with a clean, documented PBIX (or dataflow) that follows best practice for query folding, partitioning, and ...

I need a single Excel workbook that can build and police our small team’s roster for me. At its core the sheet must: • Calculate each employee’s daily and weekly hours automatically and highlight anyone who ends up rostered for more than seven straight days. • Apply additional rule-based conditional formatting so I can tweak thresholds later (for instance, total weekly hours). • Generate weekend coverage automatically—every Saturday and Sunday one person is placed on a full-time shift while another is booked for a half-day, rotating fairly through the team. • Resolve overlapping or double-booked shifts on its own rather than only flagging them; it should shuffle the clash to the nearest viable slot and note the change. • Remain scalable...

I need an Excel file to track my stock investments. The file should be able to import data from CSV files. all need to be automated updation of from data pulling from website(free source) to putting systematically store and integrate that data in excel by date order and there after process with below ratios. I should be able compare past data outcomes with new one also Essential features include: - Key Ratios: Beta, Alpha, Sharpe Ratio, Portfolio Beta, Variance, Standard Deviation - Visualizations: Line Charts to display the data trends Ideal Skills and Experience: - Proficiency in Excel, especially in creating complex formulas and importing CSV data - Experience with financial metrics and investment tracking - Ability to create clear and informative line charts

I need a small, browser-based calculator that lets my customers work out exactly how much aluminium they have in their basket and whether it meets our production thresholds before they call us. The interface should feel as familiar as a typical e-commerce quantity selector: pick a beam section, choose a length, type in a quantity and watch the results update instantly. Behind the scenes the script has to pull the density and surface-area data I will supply (already organised in a spreadsheet) and then: • add up total weight in kilograms • add up total powder-coating area in square metres • highlight when any single beam section hits 250 kg • highlight when any colour grouping hits 200 m² Customers will also be able to split the same physical items across d...

Urgeent request (within next 2 hours) I need a Sankey chart to analyze data distribution using mixed data types. Requirements: - Visualize complex relationships and flows - Handle both categorical and numerical data - Provide clear, insightful visual representation Ideal Skills: - Experience with data visualization tools - Proficiency in handling mixed data types - Strong analytical skills Please include detailed project proposals in your application.

I need a polished PowerPoint pitch deck that positions our offering as the clear, low-risk choice for prospective clients. This is a business pitch aimed squarely at decision-makers, so every slide has to speak their language: value, credibility and next steps. The core of the story is already outlined, but I want you to turn it into a visually engaging narrative. Client testimonials must feature prominently—quoted, formatted for impact and supported by on-brand graphics. If you see natural spots to weave in brief product or company background for context, that flexibility is fine, but the priority remains a client-oriented message that converts interest into action. Please handle slide design, iconography, concise copy polishing and any light data visualization needed. I’ll ...

I need help gathering contact information for partners at legal firms in Australia. The information should be organized and delivered in an Excel spreadsheet. Requirements: - Based on supplied web site data, find and compile names and email addresses of partners. - Focus exclusively on Australian legal firms. - Deliver information in an Excel spreadsheet. Ideal Skills: - Experience with web scraping or data collection. - Attention to detail to ensure accuracy. - Familiarity with legal industry structures is a plus.

A complete set of publication-ready figures must be generated from my MIKE11 runs. All inputs are simulated data covering both hydrological and hydraulic scenarios, and the goal is to translate those raw model outputs into crisp visuals that meet journal standards. The final package should combine clear graphs, informative maps, and any additional model snapshots necessary to communicate the results. Consistency in colour palette, layout, and labelling is essential so the figures read as a unified suite within the manuscript. Key tasks include • extracting the relevant time-series and spatial layers directly from MIKE11 (or MIKE View), • styling and annotating them for clarity—legend, scale bars, axes, units, etc.—and • exporting high-resolution files (TI...

I have a set of source documents that contain both narrative details and numeric figures, all of which must be transcribed into a Google Sheets workbook designed for ongoing financial tracking. Every row will hold mixed data—descriptive text in some columns, numbers in others—so accuracy on both fronts is critical. Beyond clean data entry, the sheet must automatically calculate key performance indicators using the built-in IRR and NPV functions. Once the records are in place I should be able to adjust any cash-flow figure and see the updated returns instantly, so please structure the worksheet with clear cash-in, cash-out and date columns linked to those formulas. Deliverables • Fully populated Google Sheets file with all source data entered exactly as provided &bull...