Final year B.Tech CSE graduate
I am a final year B.Tech CSE graduate (2026 batch) with proven expertise in Python, SQL, Power BI, ETL pipelines, and Machine Learning. I built 30+ live analytics and ML projects including a deployed Streamlit app analyzing 1,05,898 records with 86.05% model accuracy. I am passionate about transforming complex datasets into actionable business insights through dashboards and data-driven reporting.
Built end-to-end ETL pipeline processing 1,05,898 records across 3 datasets — performed data quality checks and validation at every stage. Developed ML Attrition Prediction model — Logistic Regression (86.05% accuracy) and Decision Tree (82.99%) — deployed live on Streamlit cloud. Built 3-page Power BI dashboard with KPI cards, slicers and filters — insights: Amazon led layoffs (58,124), 68.5% placement rate, 16.1% attrition.
View Source CodeBuilt automated HR data pipeline — standardized workforce records, handled missing data using median imputation, generated MIS KPI reports covering attrition rates, headcounts and CTC distributions. Implemented Logistic Regression classifier to predict employee attrition risk based on performance and compensation — enabling proactive HR intervention decisions.
Built automated pipeline processing customer billing logs — calculated MRR At Risk and flagged high-risk subscriber accounts before contract termination events. Applied Logistic Regression on complaint frequency and spending patterns — generated MIS revenue management reports for stakeholder decision-making.
June 2026
Jul 2026
B.Tech — Computer Science and Engineering • 2022 – 2026
8.10/10.0
82.84 percentile All India Engineering; 92.92 percentile Logical Reasoning (Top 7%)
Interested in collaboration or just want to say hello? Feel free to reach out!