Shreyansh

Data Scientist

https://talent.gravityer.com/shreyansh-3

I am a graduate student in Financial Mathematics at North Carolina State University, with a strong foundation in Mathematics and Computing from IIT Kharagpur

Member since June 29, 2026

Key Strengths

Strong foundational knowledge in Python for data analysis and quantitative finance, as evidenced by numerous projects.
Experience with Jupyter Notebook for data exploration and model development.
Demonstrated interest in quantitative finance and algorithmic trading strategies (e.g., local volatility models, MBS risk management, long-short equities, pairs trading, Volterra Heston model).
Exposure to various financial modeling techniques and concepts.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are heavily concentrated in quantitative finance and algorithmic trading, which aligns well with roles requiring strong analytical and mathematical skills. However, the diversity of projects outside this niche is limited, with only a few web development projects (Partisia-PHR, portfolio_website) and one educational project (SigmaGeometry). This specialization might indicate a strong fit for specific quantitative roles but less breadth for general data science positions that require diverse domain applications or broader machine learning expertise. The target role 'Data Scientist' is broad, and while the candidate's quantitative finance background is valuable, it might not cover all aspects typically expected of a general data scientist without further evidence.

Soft Skills & Operational Fit

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

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

mbs_risk_management

June 20, 2026 – Present

mbs_risk_management — GitHub repository

View Project

explainable_commodity_prices

June 1, 2026 – Present

explainable_commodity_prices — GitHub repository

View Project

portfolio_website

May 18, 2026 – Present

My personal website to display projects and blog posts!

View Project

long_short_equities

May 15, 2026 – Present

A cross-sectional, dollar-neutral long-short equity strategy on the S&P 500.

View Project

fim_500_algo_trading

May 15, 2026 – Present

Codebase for the FIM500 Algorithmic Trading Project

View Project

pairs_trading

May 15, 2026 – Present

Statistical Arbitrage Project on Pairs Trading AAPL and MSFT

View Project

local_volatility_model

May 14, 2026 – Present

Dupire local-volatility modeling pipeline on an SPX options

View Project

volterra_heston_model

May 14, 2026 – Present

An American Options Pricing Framework using the Volterra (Rough) Heston Model

View Project

SigmaGeometry

April 4, 2025 – April 4, 2025

Interpretable Geometry Problem Solver for High School Education

View Project

Partisia-PHR

February 8, 2024 – February 13, 2024

Decentralized health repo

View Project

Key Strengths

Strong foundational knowledge in Python for data analysis and quantitative finance, as evidenced by numerous projects.
Experience with Jupyter Notebook for data exploration and model development.
Demonstrated interest in quantitative finance and algorithmic trading strategies (e.g., local volatility models, MBS risk management, long-short equities, pairs trading, Volterra Heston model).
Exposure to various financial modeling techniques and concepts.

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 are available.

Shreyansh

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit