• B.Tech in Electrical Engineering
• Aspiring Data Analyst with a strong interest in data-driven decision making
• Currently improving skills in Data Analysis, Visualization, and Business Intelligence
• Seeking entry-level opportunities in Data Analytics

To begin a career as a Data Analyst where I can apply analytical skills, build effective dashboards, and create portfolios to showcase my ability to turn raw data into actionable business insights.

C, Python, SQL

Excel, Google Sheets, Looker Studio, Tableau, Power BI

NumPy, Pandas, Matplotlib, Seaborn, Plotly

MySQL

VS Code

Tools: Excel, Google Sheets, Looker Studio

• Analyzed end-to-end business data (orders, revenue, delivery, customer, and marketing) to evaluate overall performance
• Built interactive dashboards to track revenue trends, demand patterns, and operational efficiency
• Identified strong revenue (₹11.01M) and AOV (₹1,092) with clear seasonal and time-based demand trends
• Detected key operational issues including ~30% delayed deliveries and low basket size (2.01 items/order)
• Highlighted high-performing categories (e.g., Pet Care) and margin leakage in high-demand segments
• Evaluated marketing effectiveness with profitable ROAS (2.38) and identified conversion drop-offs
• Provided actionable recommendations to improve delivery efficiency, customer retention, demand distribution, and campaign performance

Tools: Excel, Google Sheets, and Looker Studio

• Analyzed 50,000 Airbnb listings to evaluate revenue, pricing, and demand trends
• Built interactive dashboards for visualization
• Identified key insights on price sensitivity, host distribution, and geographic demand
• Discovered high reliance on individual hosts and dominance of entire home listings
• Provided recommendations on dynamic pricing, demand optimization, and supply balance
• Suggested strategies to improve low-performing listings and increase occupancy rates

Tools: Excel, Google Sheets

• Analyzed 5,000 user records to identify engagement patterns, churn trends, and subscription behavior
• Built an interactive dashboard to track KPIs like listening hours, skips, engagement levels, and conversion rates
• Identified key insights like 21.5% churn rate, low free-to-paid conversion, and moderate engagement dominance
• Provided actionable recommendations to improve retention, boost premium subscriptions, and enhance user experience

Bachelor of Technology (B.Tech) in Electrical Engineering
Regent Education and Research Foundation Group of Institutions
Maulana Abul Kalam Azad University of Technology
2017 – 2021
Percentage: 85.50%

Higher Secondary (12th)
Barrackpore Government High School
2016 – 2017
Percentage: 84.20%

Secondary (10th)
Nona Chandan Pukur Manmatha Nath High School
2014 – 2015
Percentage: 87.57%