About
Applied ML Engineer with hands-on experience building and deploying forecasting and classification systems using Python and SQL. Worked on enterprise-scale data pipelines at Oracle and delivered production-ready ML applications in healthcare, credit risk, and automotive forecasting domains.
Experience1
Associate Engineer
Jun 2024 — Jul 2025Oracle · Bengaluru
Devised and optimized SQL-driven data pipelines for ERP and Supply Chain modules, improving query efficiency by reducing report runtime by 40% through advanced indexing. Translated business requirements from cross-functional teams into 8+ automated BI reports, enhancing data-driven decision-making for supply chain and finance operations. Owned end-to-end development lifecycle for key compliance reports, from validation to deployment, ensuring 100% data accuracy.
- Improved query efficiency by reducing report runtime by 40%
- Translated business requirements into 8+ automated BI reports
- Ensured 100% data accuracy for compliance reports
Projects4
Credit Risk Modelling
Developed a comprehensive credit risk assessment solution for NBFC domain, processing 50,000+ customer records with 33 financial and demographic features. Engineered data preprocessing pipeline handling missing values and outliers, optimized decision thresholds to balance recall and precision for default risk mitigation.
Open on https://[GitHub Link]- EDA
- Model Fine Tuning
- Model Training
Hip Implant Monitoring System
Engineered a real-time monitoring system analyzing 2.5 million+ sensor readings, improving early fault detection alerts by 25%. Attained 99.96% accuracy with a LightGBM model by implementing rigorous data cleaning and temporal validation across 293,635 time groups to prevent data leakage.
Open on https://[GitHub Link]- Data Cleaning
- EDA
- Model Training
AI-Powered HR Management
Architected an LLM-powered HR system using Claude AI and LangChain, implementing prompt engineering for context-aware responses. Implemented a FastAPI backend with Pydantic data validation and SMTP integration, building an MCP server to expose HR operations as tools.
Open on https://[GitHub Link]- MCP Integration
- ClaudeAI
- FastAPI
- SMTP
Healthcare Premium Prediction
Designed an actuarial ML solution analyzing demographic and health data from 20,000+ records to project insurance premiums. Achieved R² > 0.85 through advanced ensemble modeling, validating Genetic Risk and Income as key pricing variables.
Open on https://[GitHub Link]- Python
- Random Forest
- XGBoost
- Streamlit
Education2
B.E
2020 — 2024NMAM Institute of Technology
Information Science
Data Science and GenAI Bootcamp
2025 — 2025CodeBasics
Certifications1
Oracle Cloud Infrastructure 2025 Certified Data Science Professional