PolySignal - Polymarket Analytics Platform
Real-time Polymarket analytics with ML-powered signals, sentiment analysis, anomaly detection, and a Unified Risk Score.
Data Scientist Data Analytics
Based in Kenya with a background in Statistics and Computing. I build analytics products that turn raw data into decisions by combining data extraction, modeling, and clear visualization.
Selected work across analytics, ML, and product engineering.
Real-time Polymarket analytics with ML-powered signals, sentiment analysis, anomaly detection, and a Unified Risk Score.
Upload a photo and generate style variations (professional/casual/streetwear/dinner) with outfit breakdowns and recommendations.
Notebook workflow covering ingestion, imbalanced classification, sampling strategies, and gradient boosting models.
Examples of pulling data from APIs and transforming it into analysis-ready tables.
Real-time monitoring for room occupancy and healthcare staff allocation with emergency reallocation.
Tableau Public dashboards and data storytelling projects.
A practical stack for shipping analytics end-to-end.
Python, Pandas, NumPy, SQL (PostgreSQL), data modeling, validation.
scikit-learn, forecasting/classification, anomaly detection, evaluation workflows.
FastAPI, WebSockets, React, API design, documentation, deployment basics.
Tableau, KPI design, narrative dashboards, clear charting conventions.
Badges and verifiable credential links.
Fastest way to reach me: LinkedIn. Email works too.
Email: evansmakori252@gmail.com