PROFILE
Data Analyst focused on transforming complex datasets into clear, actionable business narratives. Hands-on exposure through various end-to-end EDA, KPI tracking and Dashboard reports, looking to apply technical expertise to solve real-world organizational challenges.
Personal Project/s
Project Name :
Mobile Sales Performance Dashboard | Power BI
Description :
Engineered a dynamic Power BI dashboard for 2,900+ sales records, utilizing DAX and advanced Data Modeling to visualize regional trends and KPIs; developed a yearly sales growth forecast that identified high-growth segments to optimize sales strategy that projected 10-15% increase in annual revenue.
Project Name :
Human Resource Analysis Dashboard | Power BI
Description :
Developed an end-to-end HR Analytics solution in Power BI to track 1,000+ employee records; implemented Power Query, Field Parameter, Drill-down and Drill-through analysis to isolate attrition drivers, supporting initiatives to lower turnover rates.
Project Name :
Warsaw EV Charging SQL Analysis | MySQL
Description :
Architected a SQL-based infrastructure analysis of EV charging demand, employing complex Joins, CTE, Windows functions and Aggregations to evaluate station utilization; delivered data-driven insights for network optimization and peak-load forecasting.
Project Name :
Library Management & Analysis | MySQL
Description :
Developed a robust relational database in MySQL to automate book tracking and circulation. I optimized data retrieval using Complex Joins, Window Functions, and Aggregations to analyze member activity, branch-wise operational costs, and book demand patterns. This project replaces manual record-keeping with a structured SQL schema, providing data-driven insights to improve inventory management and organizational efficiency.
Project Name :
Nifty 50 2025 Exploratory Data Analysis | Python
Description :
Uncovered actionable market insights by performing deep-dive EDA on 62.5K+ NIFTY 50 records, performed Data Wrangling using Pandas and NumPy to transform, utilizing Matplotlib and Seaborn to visualize volatility trends and isolate anomalies for risk-mitigated decision-making.
Project Name :
Digital Diet & Mental Health Analysis | Excel (Advanced)
Description :
Analyzed 2K+ records using Excel; applied percentile-based segmentation (33rd/67th) and built an interactive dashboard (Pivot Tables, Charts, Slicers)—revealing that high screen time and caffeine increase anxiety and reduce sleep, simplifying complex data into clear, actionable insights.
Experience/s
EDUCATION
Graduated from Calcutta University (6.4 CGPA)
Secondary Education (64%)