Professional Industry

Key responsibilities 1. Collect + clean data from databases, APIs, logs, and other sources 2. Analyze data to find patterns, correlations, and anomalies using Python/R/SQL 3. Build ML models for forecasting, classification, clustering, recommendations, fraud detection, etc. 4. Test + validate models through A/B testing and experiments 5. Create dashboards/reports in Tableau, Power BI, or Python to share insights with non-technical teams 6. Work with stakeholders to understand business questions and translate results into action Key skills Technical: Python/R, SQL, ML libraries l