Saurav Chaudhari

Data Scientist

https://talent.gravityer.com/saurav-chaudhari

Researcher

Pune, Maharashtra, India

Key Strengths

Strong interest in quantitative finance and algorithmic trading demonstrated through multiple personal projects.
Proficiency in Python for data analysis, modeling, and simulation.
Experience with various data science techniques including covariance estimation, lead-lag detection, portfolio optimization, chaos theory, and Markov chains.
Exposure to C++ and Shell scripting, indicating versatility in programming languages.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong independent drive and curiosity, particularly in applying data science and quantitative methods to financial markets. This self-starter attitude could be a good cultural fit for roles requiring initiative and problem-solving. The diversity of projects, while focused on finance, also indicates a breadth of technical exploration.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

tyler-covariance-estimation

March 23, 2026 – Present

tyler-covariance-estimation — GitHub repository

View Project

MUSIC-for-Lead-Lag-Detection

March 23, 2026 – Present

MUSIC-for-Lead-Lag-Detection — GitHub repository

View Project

pll-market-microstructure

March 23, 2026 – Present

pll-market-microstructure — GitHub repository

View Project

Portfolio-Optimization-Tool-

February 18, 2025 – February 18, 2025

Portfolio-Optimization-Tool- — GitHub repository

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Real-Time-Chat-Application

February 18, 2025 – February 18, 2025

Real-Time-Chat-Application — GitHub repository

View Project

Chaos-Theory

July 24, 2024 – July 24, 2024

Python script that uses chaos theory concepts to predict if the Nifty 50 index goes up or down, and the effect on its high-weightage stocks.

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Markov-Chain

July 24, 2024 – July 24, 2024

Predicting future prices using the Markov Chain

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GameTheory

July 24, 2024 – July 24, 2024

GameTheory — GitHub repository

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nifty50-momentum-strategy

July 8, 2024 – July 8, 2024

nifty50-momentum-strategy — GitHub repository

View Project

HFT-Simulation

July 7, 2024 – July 7, 2024

HFT-Simulation — GitHub repository

View Project

Key Strengths

Strong interest in quantitative finance and algorithmic trading demonstrated through multiple personal projects.
Proficiency in Python for data analysis, modeling, and simulation.
Experience with various data science techniques including covariance estimation, lead-lag detection, portfolio optimization, chaos theory, and Markov chains.
Exposure to C++ and Shell scripting, indicating versatility in programming languages.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Saurav Chaudhari

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit