Mayur Patil

Computer Engineering student · Aspiring Algorithmic Trading & Equity Research Intern

Mumbai, Maharashtra, India

@mayur_patil

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🎓 B.E. Computer Engineering at University of Mumbai · Graduating 2027

About

Computer Engineering student and active index-derivatives trader with 4+ years of live trading experience across Indian indices, plus Python-based backtesting and quantitative research work. Interested in algorithmic trading and equity research, with experience in risk management, execution quality, and data-driven strategy development.

Experience

R&D AI Agents Intern

CrowdWisdomTrading

Jul 2026 – Present

Researched, backtested, and built systematic strategy frameworks for CME-listed US index futures, and developed low-latency execution components in C++ using Sierra Chart (ACSIL).
Data Management & Automation Engineer

University of Mumbai

May 2026 – Present

Built Python automation workflows for data collection, validation, and reporting on institutional datasets.
Independent Trader & Quantitative Researcher

Freelance · Mumbai

2020 – Present

Independent trading and quantitative research focused on index derivatives, systematic strategy backtesting, execution quality, risk management, and trade reconciliation.
ML & AI Intern

High Tech Surveillance Systems Pvt. Ltd.

Mar 2026 – Apr 2026

Developed machine learning models in Python, TensorFlow, and PyTorch with preprocessing, EDA, and feature engineering.
Data Science Intern

Nullclass

Jun 2025 – Dec 2025

Built analytical pipelines in Python, Pandas, and NumPy for structured insight generation from raw datasets.
Market Analyst Intern

Smart Grow Capital

Jan 2025 – Jun 2025

Applied time-series methods to financial datasets to improve trade-timing signals from macro and market indicator tracking.

Education

2027

B.E.

Rizvi College of Engineering

Awarded by University of Mumbai

Computer Engineering · Jul 2023 – May 2027

Computer Engineering · Jul 2023 – May 2027

Skills

5 to 8 years

Backtesting Risk Management Hypothesis Testing Algorithmic Trading Time Series Analysis Quantitative Analysis

<3 months

SQL NumPy Scipy Python Pandas scikit-learn Equity Trading Derivatives Trading Stock Market Analysis

Tools / apps / platforms

<3 months

Git GitHub Tableau Microsoft Excel Jupyter Notebook Microsoft Power BI

Projects

Crypto Sentiment & Trader PnL Analysis ↗

Python, Pandas, SciPy

Statistically validated links between market sentiment and trader profitability using Welch's t-test across regimes.
AI-Based Financial Market Prediction System

Python, LSTM, SVM, Random Forest

Multi-model market forecasting system combining LSTM, SVM, and Random Forest models on OHLCV, technical-indicator, and sentiment features.
Systematic Financial Research Framework ↗

Python, Pandas, SciPy, Scikit-learn

Reusable, hypothesis-driven backtesting workflows built from scratch, including data cleaning, feature engineering, backtesting, and strategy evaluation.

🏆 Achievements & awards

Published AI research paper at an international conference · 2025

Patent application filed for AI-based market prediction system.
Gold Medal & 1st Place, Aavishkar Inter-Collegiate Research Convention, University of Mumbai · 2025

Felicitated by the Vice Chancellor.
1st Place, VNPS 2026 National Level Technical Project Showcase · 2026
Oscillation 2025 · 2025

2nd place in AI & Innovation Sprint 2026 & Rizvi Tank National Ideathon 2025; 3rd place in PRAKALP 3.0.

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