Predictive Analytics Jobs

I want to build a robust machine-learning pipeline that can reliably predict when a user is likely to log on again. The core need is a production-ready model—deep-learning is welcome where it adds value—that captures behavioural signals and translates them into accurate logon-probability scores. You will work with the raw system logs I can provide (time-stamped events, account metadata and any other fields you advise extracting). Starting from exploratory data analysis, we will move through feature engineering, model selection, hyper-parameter tuning and final evaluation. I am especially interested in interpretable insights alongside raw accuracy, so attention to explainability techniques such as SHAP or LIME is appreciated. Deliverables • Clean, well-commented Python ...

I need an AI Expert to help me in my Project, within a month. I have carried out the Analysis part of the Project. The AI person needs to recommend a relevant Model and help with 'how to do' part. This is based on a medical istrument performance analysis.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. The People Analytics team at Optum provides insights and perspective on our employees and workforce trends that allow us to fulfill our mission to help people live healthier lives and to help make the health system...

I need four high-fidelity architecture slides that bring a Healthcare Disease Prediction Platform to life for an investor deck. Each slide should translate the platform’s concepts into clear, modern visuals that strike the right balance between technical depth and boardroom polish. Scope of work • Map end-to-end data sources integration so it is obvious where clinical, claims, wearable, and third-party datasets enter the pipeline. • Expose the predictive model details at a glance—training flow, feature store, model registry, real-time scoring—while keeping it simple enough for non-technical VCs to follow. • Illustrate the user interface design layer, showing how insights surface to clinicians, administrators, and patients without clutter. Key expect...

I’m sitting on a sizeable pool of customer data and need clear, actionable insight into why clients stay—or slip away—so I can sharpen our overall experience. The single metric I care about right now is retention rate; every query, chart, and model should trace back to that outcome. Here’s how I picture the engagement: • Clean and consolidate the raw customer datasets I’ll supply (CSV and database exports). • Run the exploratory analysis and segmentation needed to surface churn-related patterns. • Build predictive or descriptive models—whichever proves most reliable—to highlight the moments of greatest attrition risk. • Present findings in a concise slide deck plus an interactive dashboard (Python, SQL, Tableau or Power ...

Saya membutuhkan laporan analitis yang menguraikan bagaimana kebijakan publik terbaru akan memengaruhi perilaku masyarakat ke depan. Fokus utama saya adalah keterkaitan antar‐kebijakan dan dampaknya, sekaligus memprediksi perubahan perilaku masyarakat yang mungkin muncul dalam tiga sampai lima tahun mendatang. Ruang lingkup pekerjaan: • Menginventaris kebijakan kunci (nasional maupun regional) yang sedang atau akan diterapkan. • Menganalisis dampak langsung dan tidak langsung dari kebijakan tersebut terhadap pola konsumsi, preferensi sosial, serta dinamika pekerjaan. • Mengintegrasikan tiga sumber data utama—data survei masyarakat, data media sosial, dan data ekonomi makro—beserta referensi perilaku dan tren masyarakat yang relevan. • Menyusun proyeksi tren...

Hola, soy Manuel Ten fundador de InyecData. Me dedico al mundo industrial y he decidido lanzar un nuevo proyecto por mi cuenta junto con un socio. Estamos desarrollando una solución que ayuda a fábricas a reducir pérdidas operativas utilizando datos y software predictivo. Ya estamos validando el problema con clientes. El proyecto está en una fase muy inicial, por lo que la idea es empezar a construir un equipo pequeño pero eficiente para desarrollar el MVP desde cero. Ahora mismo buscamos a un técnico especialista en moldes de inyección que nos asesore en la creación del software y en la parte de machine learning aplicada al proceso. Si te interesa, puedo contarte más detalles.