Data Analyst | SQL • Power BI • Excel
Transforming raw data into actionable business intelligence. Building dashboards for customer retention, sales insights, and strategic decision-making.
Who I Am
I'm a final-year B.Sc. Chemistry & Mathematics student at the University of Delhi with a passion for data analytics. I specialize in transforming complex datasets into clear, actionable insights using SQL, Power BI, and Excel.
Through hands-on projects analyzing customer retention, sales trends, and user behavior, I've developed practical expertise in data cleaning, KPI tracking, and dashboard development. My analytical chemistry background gives me a unique edge in approaching data with scientific rigor.
Beyond technical skills, I bring proven leadership experience from managing teams, securing sponsorships, and driving measurable results in college initiatives.
Portfolio
Analyzed customer behavior across cohorts to track retention, churn, and repeat purchase patterns. Identified high-value customer segments through CLV analysis and flagged churn risk groups.
View on GitHub →Interactive dashboard tracking revenue trends across multiple regions with drill-down to product-level profitability. Identified top revenue drivers and underperforming segments using KPI analysis.
View on GitHub →Interactive Excel dashboard tracking ₹1.02Cr+ in sales across 23 cities and 5 product categories. Built with pivot tables, KPI cards, and dynamic charts to convert raw data into actionable business insights.
View on GitHub →Analyzed 28K+ song streams to uncover listening patterns, peak engagement times, and top-performing artists/genres. Extracted insights via SQL and visualized user behavior trends.
View on GitHub →Interactive web app built with Lovable to visualize potential customer retention metrics. Tracks growth KPIs, churn signals, and retention trends in a clean, real-time dashboard interface.
View Live App →A fully interactive sales analytics web application built with Lovable. Displays 2024 sales performance, revenue trends, regional breakdowns, and product-level insights through dynamic charts and filters.
View Live App →Technical Arsenal
Journey
Analyzed project data using SQL & Python, improving decision-making speed by 15%. Conducted market research & maintained process documentation.
Led a 16-member team, producing engaging digital content with 30% higher online reach.
Contributed to securing ₹80,000+ sponsorships for college events. Built and maintained partnerships with 10+ external sponsors.
Supported digital campaigns, increasing event visibility and student participation by 20%.
Assisted in organizing 8+ community events, promoting engagement and volunteerism among 150+ people.
Let's Connect
I'm actively seeking data analyst opportunities and always open to discussing analytics projects, collaborations, or just connecting with fellow data enthusiasts.