About Me
Results-driven Data Analyst and final-year B.Tech CSE student with hands-on experience in Python (Pandas, NumPy, Seaborn), SQL, Power BI, and Excel for end-to-end data analysis, ETL pipelines, and dashboard development. Proven ability to clean large datasets, perform EDA, build predictive models, and deliver actionable insights that support data-driven decision-making.
Skills & Technologies
Work Experience
Data Analyst Intern
Designed and optimized SQL queries to extract, transform, and analyze datasets from multiple sources. Built Power BI and Tableau dashboards to monitor KPIs and track performance trends across business units. Performed data cleaning and statistical analysis using Python to uncover actionable business insights and delivered customized Excel training to cross-functional teams, boosting analytical efficiency by 30%.
Projects
Customer Churn Analysis & Prediction Dashboard
Analyzed 7,000+ telecom customer records using Python and SQL to identify top churn drivers across tenure, contract type, and service usage. Built a logistic regression model with 83% accuracy; exported results to Power BI for an interactive executive dashboard with KPI cards and drill-through filters.
Retail Sales Performance Analysis & Forecasting
Cleaned and transformed 50,000+ rows of retail transaction data, resolving nulls, outliers, and schema inconsistencies using Pandas and Power Query. Conducted time-series analysis to uncover seasonal trends; built a 3-month revenue forecast using moving-average modeling for weekly business reviews.
COVID-19 Global Data Analysis & Visualization
Queried a public COVID-19 dataset via PostgreSQL to track infection rates, mortality trends, and vaccination progress across 50+ countries. Merged and cleaned multi-source datasets using Pandas, resolving schema mismatches and 15%+ missing values.
Education
B.Tech
Computer Science
Class 12
Science (PCM)