At Bluestock Fintech, I engineered an automated Mutual Fund ETL pipeline using Python, SQL, and Tableau to extract, clean, and visualize asset performance. I also designed dashboards to surface market trends, default risks, and portfolio metrics.
As a Research Intern at Brain Computing Lab, MANIT, I preprocessed EMG bio-signal datasets using EmotiBit and IoT sensor infrastructure. I applied ANOVA and variance analysis to evaluate neural feature quality and eliminate sensor noise.
At Personifwy, I built automated Python data-processing pipelines that improved batch execution efficiency by 25%. My projects include a LangChain and ChromaDB resume analyzer, computer vision systems, and an IoT SpO2 monitor.
