Data Analyst with a strong foundation in SQL, Python, Excel, and Power BI, skilled in data cleaning, analysis, visualization, and dashboard development.
Edunet Foundation
Feb 2025 – Apr 2025 · Hybrid
Cleaned and analyzed 3+ real-world datasets using SQL and Excel, reducing data inconsistencies by 40%; automated data cleaning using Python (Pandas), reducing manual preprocessing time by 30%; performed data transformation and validation to ensure accurate MIS reporting and reliable business dashboards; conducted exploratory data analysis (EDA) to identify trends and support business reporting. Tools: SQL, Excel, Power BI, Python.
Bachelor of Computer Applications (BCA)
Graduated: 2025
CGPA: 8.33 / 10
Analyzed 7,043 records and found that 88% of churned customers were on Month-to-Month contracts. Developed KPIs including Total Customers (7,043), Churn Rate (26.54%), and Churned Customers (1,869). Built an interactive Power BI dashboard with filters across contract type, tenure band, and risk category. Identified 52.94% churn among customers with 0–6 month tenure versus 17.13% for 12+ months. Technologies: Python, SQL, Power BI. Duration: Dec 2024 – Jan 2025.
Wrote 30+ SQL queries using joins to extract revenue, customer, and sales insights. Identified Pune as the top revenue city and Tea as the highest-selling product with 427 units across 1,000 orders. Developed KPIs including Total Revenue (INR 16.45L), Average Order Value (INR 1,645), and Total Quantity (3,067). Built a Power BI dashboard with dynamic slicers. Technologies: SQL, Power BI, Excel. Duration: Feb 2025 – Mar 2025.
Analyzed 9,655 titles from 1920–2021 across 25 content ratings, 519 genres, and 5,771 directors. Cleaned and transformed data using Power Query. Found that Movies represented 80.82% of titles and TV Shows 19.18%. Identified Drama and Comedy as the most popular genres and 13+ as the most common rating. Built an interactive Power BI dashboard featuring country-wise distribution, release trends, genre filters, and content rating analysis. Technologies: Excel, Power BI. Duration: Mar 2025 – Apr 2025.