Product Data Analyst · A/B Testing · SQL · Python · Power BI · Looker
📍 Paris, France · Open to work
I spent 6 years in data quality and validation at Fiserv, Accenture, and Tech Mahindra, where I became obsessed with data accuracy. When I joined Virtuo in Paris, I saw firsthand how every product decision, every feature built or killed was grounded in data. That curiosity drove me to pursue a MSc in Data Science & AI Strategy at emlyon business school (GPA 4.0, just completed). I'm now looking to bring that full arc rigorous data quality instincts + product analytics depth to a team that cares about business outcomes.
A/B testing & experimentation KPI definition & dashboards Behavioural & funnel analytics
Data quality & anomaly detection SQL Python Power BI Looker dbt BigQuery
| Project | What I built | Stack |
|---|---|---|
| 🏥 Diabetes Readmission ML | Predicted 30-day readmissions across 130 US hospitals | Python, Scikit-learn |
| 📉 Bankruptcy Prediction | Classification models for company bankruptcy risk | R |
| 🚚 Supply Chain Analysis | Operational insights from supply chain data | Python |
| 🚗 Urban Mobility EDA | Analysed 45K+ rentals · found 85% battery = optimal dispatch threshold | Python, SQL, Tableau |
| 🚲 Bike Sharing Dashboard | Interactive Tableau dashboard · 1M+ rentals · casual vs. registered user behaviour across seasons & hours | Tableau |
| 🏖️ Club Med Retention | 100K+ customer records → retention strategies protecting €37.7M revenue | Python, SQL |
💼 linkedin.com/in/sheeba-theodore · 📧 sheebatheodore95@gmail.com