NumPy Jobs

I have a clean, well-structured dataset that needs a deeper look. Your task is to explore the data end-to-end, uncover meaningful patterns, and turn those findings into a concise, business-ready story I can share with stakeholders. What I expect you to handle: data cleaning, exploratory analysis, the right statistical tests where necessary, and clear visualisations that highlight the key relationships you discover. Python with pandas, NumPy, matplotlib or seaborn is ideal, though I am open to R or another mainstream stack if you already have a streamlined workflow. If interactive dashboards (Tableau, Power BI, or similar) would add clarity, feel free to propose them. When the work is complete, I would like: • A reproducible notebook or script with clear comments • A brief re...

I need a Python-based trading algorithm that trades both the Nifty and Bank Nifty indices. The code should run locally on Python (feel free to lean on pandas, NumPy, TA-Lib, backtrader or similar libraries) and must be able to import and work with historical market data only—no live feed is required for this milestone. Here is what I expect: • A clean, well-commented Python script (or notebook) that ingests historical data, generates trade signals, executes the logic, and outputs detailed performance metrics and an equity curve. • Clear instructions on how to map the code to CSVs or API endpoints I already use for historical NSE data. • A short README explaining any configurable parameters so I can tweak settings for further experiments. Back-testing accuracy, ...

I need a reliable algorithmic bot that can execute an intraday strategy on the stock market. The core idea is simple: pull real-time equity data, apply my day-trading rules, and place orders automatically through a brokerage API (Interactive Brokers, Alpaca, or any comparable platform you are comfortable with). Low-latency data handling, solid risk management (position sizing, stop-loss, and max-drawdown limits), and accurate order execution are critical. Speed matters—I’d like a working version delivered as soon as realistically possible, so please factor rapid development and clear communication into your timeline. Python is my preferred language because of its mature ecosystem (Pandas, NumPy, TA-Lib, backtrader, etc.), but I’m open to alternatives if you can prove com...

I need a Python expert to take several CSV and Excel files and turn them into solid, statistically sound insights. The work is focused entirely on data analysis and processing—no web scraping or app development—so your time goes straight into cleaning the raw tables, exploring patterns, and building the statistical models that answer my business questions. You should feel at home with pandas for wrangling, NumPy and SciPy for numerical work, and a modeling library such as scikit-learn or statsmodels to run regressions, clustering, or any technique you recommend. If you prefer working in a Jupyter notebook, that’s perfect; a well-commented .py script is also fine. I’ll supply the data files and a brief outlining the hypotheses I want tested the moment we start. Del...

I have a Python script that controls an antenna array and performs object detection with a basic Hamming-windowed FFT. While it works, the range resolution is still too coarse for my needs. I began experimenting with the MUSIC algorithm and even toyed with the idea of adding a continual-learning loop, but I would like a cleaner, expertly implemented solution—whether that is MUSIC, ESPRIT, a refined windowing strategy, or any other modern signal-processing method you can justify. Here is the current landscape: • Language & stack: Python with NumPy, SciPy and Matplotlib. • Key variable: signal-processing methods drive the entire detection chain, so any change must integrate cleanly with the existing pipeline. • Desired outcome: a measurable, demonstrable improve...

I need a Python expert to help automate data processing tasks. The data is primarily numeric. Key Tasks: - Write scripts to automate data processing. - Handle large datasets efficiently. - Ensure accuracy and reliability in automation. Ideal Skills and Experience: - Proficiency in Python, especially in scripting and automation. - Experience with libraries like Pandas, NumPy. - Strong problem-solving skills. - Ability to work with large numeric datasets. Looking forward to your bids!