NumPy Jobs

I have a set of customer survey responses and I need them transformed into clear, actionable product-feedback insights. The workflow I have in mind is straightforward: • Load and clean the raw survey data in python so it is well-structured for analysis. • Explore and model the data with Python (pandas, NumPy, matplotlib or seaborn are fine) to surface patterns in what shoppers like, dislike, and expect next from our product range. • Build an interactive Power BI dashboard that lets non-technical teammates drill down by questions, segments, or time periods and quickly spot the most common themes and emerging preferences. Please deliver the cleaned SQL tables, well-commented Python notebooks or scripts, a packaged .pbix file, and a concise slide or PDF summary of the k...

I’m building a fully automated trading system in Python that can execute both day-trading and swing-trading strategies on live equity and forex markets. The core objectives are: • Real-time data ingestion from a broker/API, with latency low enough for intraday decision making • Strategy engine that supports separate rule sets for day trades and multi-day swing positions • Robust risk-management layer (position sizing, stop-loss, take-profit, max draw-down guardrails) • Integrated backtesting module so I can validate ideas on historical data before going live • Clean, well-commented codebase that I can extend, plus simple configuration files for tweaking parameters without rewriting code I’m comfortable providing API keys and sample datasets; y...

I have a clear, formal definition of both “organizational hierarchy” and “toxicity” that I will share as soon as the project starts. Using that reference, I need a Large Language Model fine-tuned to recognise: • whether a piece of English text expresses toxicity, • weather the text refer to someone junior from senior. Rate the toxicity of the next based on certain parameters. The data you will receive arrives in CSV files—each row contains a single text sample plus a label column I already prepared for validation. If you would like to prototype on plain text or JSON first, that is fine, but the final pipeline must ingest the CSV format directly so I can drop new files in without extra preprocessing. What I’m expecting from you • A r...

Work Zone Digital Twin — Pipeline Testing, Validation & Bug Fixes Project Overview We have a completed 11-stage Python pipeline that converts dashcam video and GPS/IMU telemetry into a top-down map of highway work zone assets (cones, drums, signs). The pipeline is built and running end-to-end. We need an engineer to test it thoroughly, validate outputs, and fix remaining issues. Pipeline Summary 11-stage offline pipeline: Stage 1-3: Telemetry preparation, keyframe extraction, video/GPS sync Stage 4: COLMAP sparse SfM reconstruction Stage 5: Metric scale alignment (GPS + physical reference measurement) Stage 6-7: Manual and auto annotation tools (browser-based) Stage 8: Multiview triangulation of asset 3D positions Stage 9: Taper ordering and work zone measurements Stage 10: Grou...

I have a raw CSV export of customer-level transactions from our retail platform and I need clear, data-driven insight into which products are really driving revenue. The goal is simple: surface product-level sales trends so I can see which SKUs consistently outperform and which ones lag behind, all viewed through the lens of revenue generated rather than just unit counts. You’re free to structure the workflow as you see fit, but I expect the core analysis to happen in Python, leveraging pandas and NumPy for data wrangling and aggregation. I’ll supply the dataset along with a brief data dictionary; you return a well-commented Jupyter notebook (or .py script) that: • Cleans and normalises the raw data • Calculates revenue by product over selectable time windows &b...

I have a dataset made up entirely of categorical variables and I want to understand the hidden relationships inside it. The task is strictly exploratory: I am not asking for predictive modelling, only a deep dive that surfaces meaningful patterns and trends. What I expect from you • Clean the data where needed so that the exploratory work is reliable. • Use suitable techniques for categorical exploration—cross-tabulations, chi-square tests, association rules, clustering on encoded variables, or any other method you feel is insightful. • Present the findings in clear, non-technical language supported by concise visuals (bar charts, heat-maps, mosaic plots or similar). • Provide a short, well-commented notebook or script (Python with Pandas, NumPy, SciPy, s...

I’m looking for a seasoned Python professional to step in and keep my existing codebase running smoothly. The core of the project is a collection of data-processing scripts; several of them expose lightweight endpoints through Flask, so familiarity with that micro-framework is essential. Here’s what I need from you: trace and squash the occasional bug, clean up sections that have grown messy, and tune performance when large datasets start to slow things down. I’d also appreciate guidance on best practices—whether that means introducing unit tests, improving logging, or suggesting smarter dependency management—so the project remains healthy as it evolves. You’ll work from a private Git repository, submit pull requests with clear commit messages, and pro...

I am building a cinematic blast sequence and need solid data-driven support rather than eye-balling particle emitters. The idea is to run an AI/ML simulation that predicts how metal, glass, concrete, wood and plastic fragments fly away from the detonation point, then turn those numbers into clear data-visualisation charts I can hand directly to the FX team. Scope • Direction, speed and distance must be predicted separately for each material class, following the colour code I already use on set (red = metal, blue = glass, grey = concrete, orange = wood, green = plastic). • The charts have to highlight the mean and standard deviation for every variable so the artists immediately see the “typical” trajectory as well as the natural spread. Other metrics such as perce...