- 🔭 Current Focus: Architecting end-to-end ETL pipelines and UAT frameworks for financial data.
- 🌱 Specializing In: Generative AI, Large Language Models (LLMs), and Cloud AI (Azure/GCP).
- 🚀 Impact: Improved model accuracy by 30% and reduced manual processing time by 25% through intelligent automation.
- 💬 Ask me about: BERT fine-tuning, Data Reconciliation, or building scalable FastAPI microservices.
- ⚡ Fun fact: I prefer Tabs over Spaces and optimized code over manual effort.
- Financial Data Automation: Built a reconciliation engine identifying discrepancies across 15 financial assets using Python and SQL.
- Predictive Modeling: Developed a Random Forest model with SMOTE to handle class imbalance, achieving significant accuracy gains.
- Workflow Optimization: Automated a 5-sheet Excel audit report using openpyxl, eliminating manual data triage.
- Quality Assurance: Architected a 22-test UAT framework to validate data integrity across 6 quality dimensions.
