Create your free profile

About

Data Analyst with hands-on experience across three internships, building SQL- and Python-driven analyses and Power BI dashboards that support business decisions. Comfortable owning a dataset from raw extraction through stakeholder-ready reporting, with a track record of cutting manual reporting effort (30%) and reducing ad hoc data requests (25%) through dashboard automation.

Experience3

  1. Data Analyst Intern

    Apr 2026 — Jun 2026

    CloudyML

    Cleaned, transformed, and analyzed multiple business datasets using Python and SQL, preparing data for reporting across retail transactions. Engineered 5+ analytical features and built 10+ visualizations to uncover performance patterns, informing customer segmentation strategy. Synthesized 15+ data-backed insights into stakeholder-ready recommendations.

  2. Data Analyst Intern

    Aug 2025 — Sep 2025

    Elevate Labs

    Designed and deployed multi-page Power BI dashboards with DAX measures, providing senior managers real-time visibility into sales and operational KPIs. Extracted and analyzed large-scale datasets using SQL and Python, uncovering performance trends that informed strategic initiatives. Streamlined recurring Power BI reports and Power Query transformations, improving data accuracy and reducing ad hoc data requests by 25%.

  3. Data Analyst Intern

    Jun 2025 — Jul 2025

    Future Interns

    Ran end-to-end exploratory data analysis in Python and SQL on business performance data, uncovering a regional demand gap. Built Power BI dashboards adopted by 10+ stakeholders to track weekly performance metrics, improving visibility into business health. Automated recurring Excel and Power BI reports, cutting manual reporting time by 30%.

Projects4

  • Ola Driver Attrition Analysis

    Analyzed 19,104 records across 2,381 drivers and 29 cities using Python-based exploratory data analysis, identifying an overall 8.46% attrition rate. Delivered recommendations to improve retention and operational performance.

    • Python
    • Pandas
    • NumPy
    • Matplotlib
    • Seaborn

  • Superstore Sales Dashboard

    Built a multi-page Power BI dashboard analyzing $2.3M+ in sales across 793 customers and 38K+ units sold. Developed YoY DAX measures revealing 32% profit growth and optimized SQL queries to improve load speed by 50%.

    • SQL
    • Power BI
    • DAX
    • Power Query

  • Credit Risk Analysis Dashboard

    Analyzed borrower and loan data to identify credit-risk drivers, revealing an overall ~21% loan default rate. Developed a custom Risk Score to segment borrowers into Low, Medium, and High Risk.

    • Power BI
    • DAX
    • Power Query

  • Medical Insurance Cost Analysis

    Analyzed 1,338 insurance records to identify healthcare cost drivers. Built an interactive dashboard comparing medical costs across various categories.

    • Microsoft Excel
    • Pivot Tables
    • Statistical Analysis

Education3

  • PGDM in Financial Management

    2025 — 2027

    MITSDE, Pune

  • Master of Arts, Economics

    2020 — 2022

    DAVV, Indore

  • Bachelor of Arts (Hons.), Economics

    2017 — 2020

    Bhopal School of Social Sciences