Data Scientist — Cosmetrics AI (Python/ETL/NLP models supporting AI-driven analytics)
Built and automated AI/data preparation workflows using custom Python scripts to support downstream analytics and modeling needs. Focused on ensuring dataset readiness and integrity for financial analysis through ETL cleaning and preprocessing. Implemented NLP sentiment analysis and recommender-system components to translate raw user signals into model-ready features. • Automated repetitive data pipeline tasks and reduced manual processing time by 45% • Ensured 99.9% data integrity for critical downstream analysis • Applied machine learning to identify operational inefficiencies and improve engagement metrics • Delivered interactive Power BI dashboards for stakeholder decision-making