Efthymios Manelis

I’m a Junior Data & Risk Analyst with a BSc in Accounting & Finance and an MSc in Data Science & Machine Learning (2025). I combine finance-first thinking with hands-on machine learning to turn messy data into clear, decision-ready signals.

In my current role as a Franchise Owner & Operator in Athens, I run end-to-end commercial operations (P&L monitoring, pricing, inventory, vendor relationships, and compliance). I also built a Python-based revenue forecasting and anomaly-detection workflow using Prophet + LightGBM and SHAP feature attribution, producing 30/60/90-day rolling forecasts at category level to flag unusual sales patterns and support working-capital decisions.

Alongside that, I maintain an Excel lost-sales and variance-tracking framework to surface stockouts, margin drift, and unexpected demand shifts, then reconcile irregularities daily with structured documentation. I’m detail-oriented and process-driven—focused on threshold-based alerting, rolling-window analysis, and concise outputs that help teams act quickly.

My technical foundation is backed by MSc coursework (Statistical Learning, Time-Series Analysis, Machine Learning, SQL & Databases, Big Data) and a capstone that mirrors my applied approach to end-to-end forecasting + anomaly detection. I’m especially motivated to deepen SQL, Python, and BI tooling on the job, and I’m fully remote-ready within CET hours.