AI/ML Enthusiast with an M.S. in Information Systems and 12 completed end-to-end ML projects spanning financial risk, NLP, computer vision, and agentic AI. Benchmarks and selects models systematically — k-fold CV, MLflow experiment tracking, SHAP explainability — and ships via Streamlit. Key results: loan default classifier at F1 0.988 on 404K records; delivery-time prediction error cut 57% on 43K records. Academic background covers 6GB+ Big Data pipelines (Hadoop, PySpark), Tableau and Power BI dashboards, Oracle database design, and SAP ERP analysis.
😄 Pronouns: She/Her
| Project | Stack | Result |
|---|---|---|
| Loan Default Classifier | XGBoost, SHAP, MLflow | F1 0.988 on 404K records |
| Agentic Travel Planner | LangChain, Groq LLM | 5 live APIs, autonomous orchestration |
| Retail Analytics Suite | K-Means, Isolation Forest | 421K records, 4 models |
⭐️ From pjindal01