Data Scientist with a strong foundation in Python, SQL, Machine Learning, and Generative AI. Delivered 20+ end-to-end ML projects spanning predictive modeling, RAG pipelines, NLP, and interactive dashboards. Combines a PGDM in Business Analytics with hands-on technical expertise to bridge data architecture and business strategy. Proficient in building scalable, production-ready ML systems with quantified, measurable impact.
Data Scientist with a strong foundation in Python, SQL, Machine Learning, and Generative AI. Delivered 20+ end-to-end ML projects spanning predictive modeling, RAG pipelines, NLP, and interactive dashboards. Combines a PGDM in Business Analytics with hands-on technical expertise to bridge data architecture and business strategy. Proficient in building scalable, production-ready ML systems with quantified, measurable impact.
- – Centralized and cleaned a fragmented lead database of 500+ student records across inconsistent sources; applied rigorous data
- validation, cross-source reconciliation, and SQL-based querying, improving data clarity and usability by 20% and
- significantly reducing lookup errors.
- – Performed end-to-end data wrangling and exploratory data analysis (EDA) using Python and Excel to uncover lead conversion
- bottlenecks; synthesized insights into stakeholder reports that drove a 15% improvement in lead conversion outcomes via
- targeted, data-driven recommendations.