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AH

Abhishek Hegdekar

CSE graduate · Aspiring Data Analyst

Thane, Maharashtra, India

@abhishek_hegdekar

LinkedIn

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About

CSE graduate with experience in business operations, workflow analysis, and data-driven problem solving. Developing skills in Python, SQL, Excel, Power BI, Tableau, and exploratory data analysis to contribute to data-driven decision-making.

Experience

  • D2C Automation Specialist
    TechStaunch Software Solutions Pvt Ltd
    Jan 2026 – Apr 2026
  • D2C Operations & Automation Intern
    TechStaunch Software Solutions Pvt Ltd
    Oct 2025 – Dec 2025

Education

  • B.Tech CSE
    PP Savani University
    Computer Science and Engineering · Sep 2022 – May 2026

Skills

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
SQL Java NumPy Python Pandas Reporting Data Cleaning Data Analytics Market research Business Analysis Data Visualization Data Interpretation Requirements Analysis Exploratory Data Analysis API Integration Understanding

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git MySQL GitHub Tableau PostgreSQL Microsoft Excel Microsoft Power BI

Projects

  • CodeSync Remote Hiring Platform
    React, Next.js, Node.js, Convex

    Built a full stack remote hiring platform with live video interviews, candidate pipeline tracking, and automated scheduling. Recruiters can manage the entire hiring process in one place, built using React, Next.js, Node.js, and Convex for real time updates.

  • Personalized News Aggregator
    Java

    Developed a news aggregation application using user preferences and a third-party API to retrieve and categorize relevant articles. Implemented data filtering and preference-based content organisation.

  • Financial Dashboard
    Next.js, Prisma

    Developed an expense tracking dashboard to organize financial transactions and visualize spending patterns. Implemented transaction management and interactive data visualization to help users monitor expenses and understand financial trends.

  • Gurgaon Real Estate Market Analysis
    Python, Pandas, Matplotlib, Seaborn

    Analyzed 19,515 Gurgaon property records to identify pricing trends across localities, BHK configurations, property types, RERA status, and builders. Cleaned and transformed data using Pandas, performed exploratory data analysis, and created visualizations to generate business insights for real-estate pricing and investment decisions.

Courses & certifications

  • The Bits and Bytes of GENERATIVE AI · CodeWithHarry · 2026
  • AI, Empathy & Ethics · Coursera
  • AWS Academy Cloud Foundations · Coursera
  • AI, Business & the Future of Work · Coursera
  • Computer Networking · AWS GDSC
  • Course · Coursera
  • Powered Data Analytics Specialization · Coursera
  • The Economics of AI · Coursera
  • Natural Language Processing · Coursera
  • Python for Everybody · Coursera
  • Ultimate Job-Ready AI · Code With Harry

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