Motivated and detail-oriented career switcher with a strong foundation in analytical thinking and a passion for turning raw data into actionable insights.
Kolkata, West Bengal
My mission is to turn raw data into actionable insights that help businesses make smarter, faster decisions — bridging the gap between numbers and meaningful stories.
I clean, transform, and analyze large datasets using Python (Pandas, NumPy) and Excel to uncover hidden patterns, trends, and actionable business insights.
I build interactive dashboards and compelling visualizations using Tableau, Power BI, Matplotlib, and Seaborn to make complex data easy to understand.
I write efficient SQL queries across MySQL and PostgreSQL to extract, join, and aggregate data from relational databases — resolving inconsistencies across sources.
I apply descriptive statistics, hypothesis testing, regression analysis, and A/B testing to validate assumptions and support data-driven decision making.
Analyzed 50,000+ rows of transactional data using Pandas to uncover sales trends and customer buying patterns. Built an interactive Tableau dashboard with KPIs including monthly revenue, top-selling categories, and regional sales performance. Identified a 22% revenue dip in Q3 caused by cart abandonment.
Performed EDA on IBM HR Analytics dataset to identify key drivers of employee attrition. Created visualizations revealing that overtime and low job satisfaction were the top two predictors. Built a logistic regression model achieving 84% accuracy in predicting employee churn.
Queried and cleaned COVID-19 state-wise data using SQL, resolving inconsistencies across 30+ data sources. Visualized infection and vaccination trends over 18 months using Power BI with dynamic slicers. Highlighted correlation between vaccination rollouts and case decline.
Feel free to contact me if you have any questions. I'm available for new projects or just for chatting about data.
Thank you for reaching out. I'll get back to you soon.