Survey methodology project evaluating ASHA response behavior, postcard reminder effects, and postal mail vs. web survey mode differences using R, bootstrap inference, and logistic regression.
Completed Tata iQ’s GenAI-Powered Data Analytics Virtual Experience Program — focused on EDA, predictive modeling, stakeholder communication, and AI-driven automation using GenAI tools.
AI-powered news intelligence pipeline — scrapes 100+ RSS feeds, scores every article with a local LLM, and delivers a curated stakeholder-ready digest. No API keys. No cloud. Runs entirely on your machine.
Developed an interactive Power BI dashboard by integrating transaction and customer data from a SQL database to provide real-time insights. Streamlined data processing to monitor key performance metrics and trends, sharing actionable insights with stakeholders to support data-driven decision-making.
A data analytics pipeline for vehicle defect analysis, featuring data validation, integration, and exploratory data analysis. This project processes steering wheel defect data and work order/repair datasets to uncover operational insights, cost drivers, and business intelligence. With data cleaning, ETL processes, statistical analysis,visualization
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