At Accenture, I processed and cleaned social media records and built and evaluated Random Forest and XGBoost models to forecast engagement trends, improving reporting accuracy by 30%.
At Yess Infotech, I analyzed business datasets and built a Motorola Mobile Sales Dashboard covering product SKUs, regional revenue, and monthly KPIs. I also developed interactive COVID-19 dashboards in Power BI and Tableau.
As a Software Engineer Trainee at Sambhav AI & Tech Services, I built Python and FastAPI backend services and automated data pipelines across several projects. I also contributed to data validation, research, testing, and project documentation.
In my projects, I built a bank churn classification pipeline that achieved 87% accuracy and 0.91 AUC-ROC, and an Amazon Alexa review sentiment classifier with 97% accuracy. I also developed an LLM-powered semantic search system using LangChain, Gemini, and ChromaDB.
