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About

B.Tech Computer Engineering graduate with hands-on experience in data analysis, SQL, Python, and Excel, including data cleaning, exploratory data analysis (EDA), KPI reporting, dashboard development, and customer segmentation. Experienced in analyzing business and operational data to identify trends, generate insights, and support data-driven decisions.

Experience2

  1. Debt Management Executive II

    Aug 2026 — Oct 2026

    Navi Fintech Private Limited · Bengaluru, India

    Managed customer payment follow-ups and maintained accurate payment, account, and interaction records to support collection operations. Tracked payment status, customer interactions, and follow-up activities to support portfolio monitoring and day-to-day operations. Communicated repayment requirements with customers while following established processes, documentation standards, and compliance requirements.

  2. Full Stack Developer Intern

    Feb 2026 — May 2026

    Gatim AI Tech Innovation Pvt Ltd · Internship · Remote

    Collaborated with cross-functional teams in Agile sprints to support requirement analysis, feature validation, and timely delivery of application enhancements while maintaining technical documentation. Performed functional testing, defect tracking, and issue resolution activities to ensure application quality, stability, and smooth release processes following SDLC practices.

Projects2

  • Zepto E-commerce Inventory Analysis

    Analyzed 3,700+ inventory records using SQL and Python to evaluate product performance, discounts, stock availability, and category-level trends. Performed data cleaning, feature engineering, and exploratory data analysis (EDA) to identify pricing and inventory patterns. Developed reports and visualizations to generate insights supporting inventory optimization, pricing decisions, and restocking.

    • Python
    • Pandas
    • SQL
    • Excel

  • Sales & Client Insights Dashboard

    Designed an interactive KPI dashboard to analyze revenue trends, customer segmentation, retention metrics, and business performance. Used SQL and Python for data cleaning, analysis, and reporting automation to improve data accuracy and reporting efficiency. Analyzed customer and revenue trends to generate actionable business insights and support data-driven decision-making.

    • Excel
    • Python
    • SQL

Education1

  • Bachelor of Technology

    2022 — 2026

    RK University

    Computer Engineering

Certifications2

  • The Joy of Computing Using Python

    2023

    SWAYAM NPTEL

  • Data Analytics Job Simulation

    2025

    Deloitte