MS

Meet Solanki

B.S. Economics student · Aspiring Finance & Analytics Professional

Kanpur, India

@meetsolanki

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🎓 B.S. in Economic Sciences at Indian Institute of Technology Kanpur · Graduating 2028

About

B.S. student in Economic Sciences at IIT Kanpur with experience in mutual fund advisory, product operations, and quantitative finance projects. Demonstrates strong analytical ability across financial modeling, forecasting, and risk assessment.

Experience

  • Advisory and Sales Intern
    HDFC Asset Management Company
    May 2026 – Jul 2026

    Benchmarked mutual fund schemes using quantitative historical analysis for SIP advisory; analyzed risk-adjusted metrics to match optimal funds to client risk profiles; conducted financial health assessments and modeled long-term SIP returns; increased client engagement through optimized product recommendations.

  • Product and Operations Intern
    OkCredit
    May 2026 – Jul 2026

    Diagnosed operational inefficiencies through user research and process analysis; designed a full-stack AI-driven platform for real-time order tracking and merchant workflow management; reduced manual processing effort and improved operational efficiency.

Education

  • Bachelor of Science (B.S.)
    Economic Sciences · 2024 – 2028
  • Class XII
    St. Andrews International School
    2024
  • Class X
    St. Joseph High School
    2022

Skills

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 Microsoft Excel Microsoft Power BI

Projects

  • Multilingual Syntax LLM Analyzer
    Python, NLP, mBERT

    Developed an NLP pipeline analyzing mBERT syntactic dependencies across four languages; computed Dependency Distance and PMI metrics to detect syntactic bias in LLMs.

  • Option Fiesta: Derivatives Backtesting
    Python, Options Pricing

    Modeled Option Greeks to evaluate price dynamics, time decay and volatility; deployed a web platform to backtest delta-neutral hedging and straddle strategies on historical options chain data; delivered a backtesting engine to optimize risk-return metrics.

  • Multi-Agent Financial Forecasting
    Python, LSTM, Time-Series

    Engineered an adaptive multi-agent ensemble to forecast daily SPY returns; built leakage-safe technical features and validated via walk-forward backtesting; improved Sharpe Ratio using adaptive reweighting.

🏆 Achievements & awards

  • WorldQuant BRAIN Challenge Gold Level · 2025

    Developed 5+ high-performing quantitative alphas globally.

⚽ Extracurricular activities

  • Core Team Member, Academics

    Member of the Center for Mental Health and Wellbeing at IIT Kanpur; managed budget and organized interviews and student support initiatives.

  • Secretary, Gender Cell

    Organized gender-awareness initiatives engaging 5,000+ students.

  • Student Guide

    Guided 6 freshmen in their academic and social transition to campus life.

  • Team Member, AUV

    Modeled 3D fluid flow around the vehicle to quantify hydrodynamic drag forces and moments.

  • Organizer, BUG event at Antaragni

    Directed overnight execution of the event across consecutive day sessions.

🤝 Volunteering

  • Science Mela · Collaborator

    Worked with Prof. H.C. Verma to execute Science Mela engaging 3,000+ underprivileged students.

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