MY BACKGROUND

About Me

Sharv Save

Hey! I'm currently a senior at Vanderbilt University studying Applied Math & Computer Science. From a very young age, I've always had an interest in the financial markets, after watching The Big Short with my dad, and understanding absolutely NONE of it the first time.

Simultaneously, I had a passion for prediction. It all started with my dad asking me to take guesses on behavior, and when time came to learn how to drive, instead of typical questions such as "what do the double yellow lines mean," he had a penchant for asking questions along the lines of "what's the car to our left going to do next?" Naturally, I found my way to the field of machine learning and data science when posed with such tasks, and utilized those skills in various different fields, with projects ranging from Parkinson's Disease diagnosis to forecasting sector returns using LSTM.

Outside of financial markets and data science, my hobbies include long-distance running, weightlifting, tennis, comic-books, stand-up comedy, and devouring Chili's Triple Dippers.

Name
Sharv Save
Email
sharv.save@gmail.com
Location
Dallas, TX & New York, NY
Professional Journey

Work Experience

Quantitative Research Analyst Intern

Schonfeld Strategic AdvisorsOct 2026 - Present

Equity Risk division. Part-time during Fall 2026 semester.

Quantitative Research Analyst Intern

Schonfeld Strategic AdvisorsJun 2026 - Aug 2026

Macro and Fixed Income pod, researched signals for systematic strategies, developed internal software and tools.

Quantitative Developer Intern

Sabrepoint Capital ManagementMay 2025 - Aug 2025

Conducted backtests on strategies, signals, indicators, for position entry/exit, sizing, and risk management. Also performed in-house software development, ad-hoc analysis using alternative data, to find alpha-generating sources of information.

Computational Research Assistant

Vanderbilt University Medical Center -- Lab of Ivelin GeorgievJan 2025 - May 2025

Data preprocessing and handling of fasta files for genetic sequences. Worked with ABSD database of 1.3 million+ RNA sequences. Utilized ProgenV2-oas LLM model for antibody discovery.

IT & Analytics Intern

Sankalp RealtyMay 2024 - Aug 2024

Utilized Monte-Carlo method for simulating commercial real estate investment properties success under various market factors. Conducted internal software development & IT solutions.

Artificial Intelligence Consultant

OnTheRoad CompaniesNov 2023 - May 2024

Ideated machine learning and cloud migration solutions for nonprofit organization that provides low-cost auto loans to underserved demographics. Project completed as part of 180 Degrees Consulting @ UT Dallas.

Academic Background

Education

Vanderbilt University

B.S Applied Mathematics | Computer Science
Aug 2024 - May 2027
Nashville, TN
Relevant Coursework
Linear OptimizationMachine LearningProbability/StatisticsLinear AlgebraMultivariable CalculusOperating SystemsArtificial IntelligencePrinciples of Software EngineeringDifferential EquationsAlgorithmsProgram Design & Data StructureDiscrete StructuresEngineering Economy
Activities
  • •Owen Student Investment Fund
  • •Kappa Theta Pi Tech Professional Fraternity
  • •Vanderbilt Lakshya
  • •Alpha Kappa Psi Professional Fraternity

The University of Texas at Dallas

B.S Information Technology Systems| CS
Aug 2023 - May 2024 (Transferred after first year)
Richardson, TX
Relevant Coursework
Calculus IIBusiness and Public LawProgramming Fundamentals
Activities
  • •Collegium V Honors
  • •Dean's List
  • •Alpha Kappa Psi Professional Fraternity
  • •180 Degrees Consulting
  • •Quantitative Finance Club @ UTD
  • •Alpha Labs
  • •Real Estate Club
PROJECTS

Featured Projects

OSF Dashboard

OSF Dashboard

Tool to monitor portfolio risk and analyst performance for the Owen Student Fund, Vanderbilt's premier student-run investment fund with $150K+ AUM. Used by 15+ investment teams.

Python
Streamlit
Pandas
PyPortfolioOpt
NumPy
Matplotlib
Code
SCM Research Portal

SCM Research Portal

Full-stack proprietary web application tailored to firm's research needs. Equipped with position signaling, equity recommendation, screens, backtests, and portfolio risk management tools. Screens on 10,033 SEC-registered tickers and signals on L/S positions of $1.2–10M.

Python
Next.js
FastAPI
Polars
NumPy
Plotly
Selenium/BeautifulSoup
Vercel
Heroku
The Trader Agent

The Trader Agent

High-frequency trading algorithm that utilizes offline Reinforcement Learning on IEX data spools to backtest trading order momentum.

Python
Polars
NumPy
Alpaca
Bash
TradeX

TradeX

Full-stack web application capable of crafting user portfolios tailored to risk limits, growth, sectors, etc.

Next.js
Python
SkLearn
Pandas
NumPy
PyPortfolioOpt
Parkin-Sense

Parkin-Sense

Multimodal approach to Parkinson's Disease (PD) diagnosis using ensemble ML, full-stack application to simulate user experience.

Python
Pandas
NumPy
SkLearn
Tensorflow/Keras
React.js
Technical

Skills

Quantitative Research

Factor & Risk ModelsEvent StudiesWalk-Forward BacktestingTime Series AnalysisRegression & Hypothesis TestingPortfolio Optimization (Mean-Variance, Black-Litterman)Monte Carlo SimulationAlternative Data

Markets

Systematic FuturesRates & Fixed IncomeCommoditiesEquity L/SMacroFundamental AnalysisBloomberg TerminalIBKR

Languages

PythonSQLKDB+/qJavaC++JavaScriptRMATLAB

Data Science & Machine Learning

pandasNumPySciPyPolarsDuckDBPostgreSQLscikit-learnPyTorchTensorFlow/KerasLSTM Forecasting

Software Engineering

FastAPINext.js/ReactPlotly DashStreamlitDockerGitDigitalOceanCloudflareVercel

Get In Touch

Contact Information

Email
sharv.save@gmail.com
LinkedIn
linkedin.com/in/sharvsave
GitHub
github.com/sharvsave1023