Garima Gangwar

About

MBA student at IIIT Lucknow with a background in Data Science and Business Analytics. Has hands-on experience in SQL, Power BI, Excel, and Python for data analysis, dashboarding, and translating business data into actionable insights.

Experience

• Data Analyst Intern
  Enexperts Consulting Pvt. Ltd.
  Jan 2025 – Apr 2025

  Automated job-market data collection using Python, BeautifulSoup, and APIs; cleaned, transformed, and analyzed datasets; developed interactive Power BI dashboards to support business strategy and data-driven decision-making.

• Data Analytics Intern
  EY-GDS AICTE
  Dec 2023 – Jan 2024

  Developed interactive Power BI dashboards; analyzed sales, customer acquisition, and monthly performance KPIs; designed KPI visualizations and reports to communicate performance insights and support data-driven decisions.

Education

• MBA
  Indian Institute of Information Technology, Lucknow
  Digital Business · Aug 2026 – 2028
• PGP
  The University of Texas, Austin
  Data Science and Business Analytics · Sep 2023 – Nov 2024
• B Tech
  Uttarakhand Technical University, Dehradun
  ECE · Jul 2019 – Jul 2023

Skills

• SQL <3 months
• Business Analysis <3 months
• Data Analysis 6 to 12 months
• Data Visualization 6 to 12 months
• Python <3 months
• Feature Engineering <3 months

Tools / apps / platforms

• LinkedIn <3 months
• Microsoft Excel <3 months
• Microsoft Power BI 6 to 12 months
• Tableau <3 months

Projects

• Credit Default & Stock Market Risk Analysis
  Data Analysis, Visualization

  Built predictive models using financial data to analyze credit default risk and stock market volatility; performed risk modeling and presented insights through data visualization.

• Car Insurance Claim Analysis
  SQL, Tableau

  Analyzed car insurance claims data to identify trends and provide strategic insights; used SQL joins and views and built an interactive Tableau dashboard.

• Customer Churn Analysis & Prediction
  Python, SQL, Power BI

  Capstone project analyzing customer behavior and transaction data to identify factors associated with churn; used preprocessing, exploratory analysis, feature engineering, and Power BI visualizations.

Courses & certifications

• Advance Data Analytics Intern · EY & Edunet Foundation
• Career Essentials in Generative AI · Microsoft and LinkedIn
• Data Analysis and Visualization with Power BI · Coursera

🎯 Hobbies & interests

• Painting
• Listening to Music
• Playing Outdoor Games