I turn complex, messy data into decisions that move the needle — through scalable pipelines, sharp dashboards, and ML models that actually get used.
I'm a B.Tech graduate from NIT Delhi with a focus on data analytics and machine learning. Over the last two years, I've worked across fast-moving startups where data had real, immediate stakes — from pricing engines for competitive tenders to inventory systems that freed up working capital.
My background spans the full data lifecycle: designing ETL pipelines, building KPI frameworks from scratch, and delivering BI dashboards that actually change how teams make decisions. I care about the numbers being right, the code being clean, and the output being usable.
Outside of work, I've applied ML to scientific problems — detecting bearing faults in motor vibration data using Discrete Wavelet Transform, achieving 98.6% classification accuracy. I'm equally comfortable in rigorous, research-driven environments as in product analytics roles.
Built a multi-model classification pipeline on a severely imbalanced fraud dataset. Benchmarked SVM, Logistic Regression, Gradient Boost, and Neural Networks. Applied SMOTE oversampling and threshold tuning to achieve strong recall without sacrificing precision — critical in fraud contexts where false negatives are costly.
Analyzed Amazon sales data to extract seasonal trends, top-performing SKUs, and regional demand patterns using Python. Built visual reports for decision-maker consumption.
Analyzed employee demographics and attrition drivers across departments. Identified key retention risk factors and built dashboards tracking workforce trends for HR leadership.
Analysed worldwide COVID-19 progression data — case growth rates, mortality trends, and regional comparisons — and built an interactive Tableau visualisation for public insight.
Pre-processed 9 sets of motor vibration data; applied Discrete Wavelet Transform to extract 10+ statistical features. Trained and benchmarked Weighted KNN and SVM — achieving 98.6% classification accuracy. Mentored by Dr. Sachin Kumar Singh, Asst. Professor.