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Apurva Shinde
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Professional Journey

Built with code. Shaped by data. Driven by decisions.

A journey through the work, ideas and ventures shaping how I understand problems — from AI and economic research to financial strategy.

  1. WORK EXPERIENCE

    September, 2026 — Present · Mumbai

    Present

    Strategy Analyst

    Nido Home Finance

    Building an understanding of housing finance, real estate and corporate strategy while learning how financial analysis, market research and business performance inform decision-making within a financial institution.

    Highlights

    • Developing an understanding of housing finance and real-estate business fundamentals.
    • Learning how business performance, market research and financial analysis support strategic decision-making.
    • Building familiarity with the processes and operating environment of a large financial institution.
    • Strategy
    • Financial Analysis
    • Business Research
    • Decision Support
  2. RESEARCH & STARTUP

    February, 2026 — Present

    Builder & Co-Founder

    EconIQ

    Building a quantitative economic-intelligence platform designed to bring macroeconomic research, market signals and decision-relevant context into one coherent environment without overwhelming the user.

    Highlights

    • Building Sentinel, the core economic-research dashboard, alongside Atlas, PE Intel, Geopolitical Watch, Simulator and Portfolio Layer.
    • Translating macroeconomic signals, policies and market data into structured intelligence for understanding the Indian economy and investment environment.
    • Developing the product as an intelligence system rather than a direct advisory tool, with the MVP currently being discussed with prospective users and investors.
    • Economic Research
    • Macro Analysis
    • Quantitative Analysis
    • Product Development
  3. WORK EXPERIENCE

    July, 2025 — March, 2026 · Remote

    AI Intern & Researcher

    BabyDino / Zenith

    Worked across AI research, experimentation and development, translating problem statements into practical Python and machine-learning workflows.

    Highlights

    • Developed an Income Tax Return Automation System to structure financial-data inputs and automate repetitive compliance workflows.
    • Built a Sports Recommendation System combining user inputs and live-camera analysis to recommend suitable sports based on physical characteristics.
    • Worked with Python, machine-learning libraries, data-processing workflows and AI/ML techniques across research and development.
    • AI / ML
    • Python
    • Research
    • Data

And this is only the beginning.

View my work