Data Analyst turning raw data into business insights using Python, SQL, and visualization tools. Building real-world dashboards and ML solutions.
Computer Science Engineering student passionate about data analytics, business intelligence, and machine learning.
I'm a 3rd-year Computer Science Engineering student with a passion for transforming complex datasets into actionable business insights. Through the IIT Roorkee Data Science & AI Program and hands-on projects, I've developed expertise in SQL, Python, data visualization, and machine learning.
As a GSSoC 2026 Contributor, I actively contribute to open-source projects while building real-world analytics solutions. My approach combines technical rigor with business acumen — I don't just analyze data, I tell stories that drive decisions.
Technologies I use to extract insights and build data products
Cleaning, transforming, and analyzing structured and unstructured data to uncover patterns and trends.
Creating interactive dashboards and compelling visual stories that make data accessible to stakeholders.
Building predictive models and recommendation systems using supervised and unsupervised learning.
Version control, deployment, and building production-ready data applications.
Real-world data projects with live demos and source code
ML-powered web app that predicts student grades (Pass/Fail, A/B/C) using Decision Tree Classifier. Features real-time prediction, input validation, and performance scoring based on attendance, marks, and assignments.
Deloitte Virtual Experience analyzing IIoT telemetry across 4 global factories. Identified machine downtime hotspots, built Tableau dashboards, and investigated pay equity using Excel pivot analysis.
Interactive Power BI dashboard analyzing sales performance across Indian cities. Features KPI cards, geographic heatmaps, payment method breakdowns, monthly trend analysis, and dynamic slicers for filtering by month.
Programs and learning journeys that shaped my skills
Intensive program covering Python, Machine Learning, Deep Learning, NLP, and Data Analytics with hands-on projects and industry-relevant curriculum.
Completed 5-task virtual internship: Python data merging, Tableau dashboard for IIoT telemetry, development proposal, cybersecurity log analysis, and Excel pay equity investigation for Daikibo Industrials.
Contributing to open-source data science and analytics projects, collaborating with global developers, and expanding software development best practices.