Harsh Patel
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
HFT Quant | AI | Algo Trading | IIT Madras
I teach computers how to make money. (C) I work on Equities and Derivative Strategies for a high-frequency trading firm. I am currently focused on Market Microstructure indicators for Market Making Algos. I have developed HFT crypto trading bots that work on arbitrage and volume generation between multiple exchanges. Skilled In: Financial Modelling | Statistics | Artificial Intelligence | Blockchain Proficient In: Python | R | Excel VBA | C++ | LaTeX Quick Learner (Have a look at my certificate section) B.Tech & M.Tech Dual Degree from Indian Institute of Technology Madras Come from Farmer’s Family.
Indian Institute of Technology, Madras
Master's degree, Automotive Engineering
January 1, 2018 – January 1, 2019
Indian Institute of Technology, Madras
Bachelor's degree, Minor in Management
January 1, 2014 – January 1, 2018
HFT Prop Fund
Quantitative Trader
June 1, 2020 – May 1, 2026
NK Securities
Quant Research
January 1, 2020 – May 1, 2020
Gurugram, Haryana, India
Nomura
Analyst - Global Markets
June 1, 2019 – December 1, 2019
Mumbai Area, India
WorldQuant
Research Consultant
March 1, 2019 – June 1, 2019
Numerai
AI Competitions
July 1, 2018 – October 1, 2019
Bitbns
Trading Consultant
February 1, 2018 – May 1, 2018
Siemens Technology India
Deep Learning Intern
December 1, 2017 – June 1, 2018
Bengaluru, Karnataka, India
Mantra.ai
Data Science Intern
May 1, 2017 – August 1, 2017
Bengaluru, Karnataka, India
Blaffer
Summer Intern
May 1, 2016 – July 1, 2016
Chennai, Tamil Nadu, India
International and Alumni Relations Student Council, IIT Madras
Head of Media
April 1, 2016 – April 1, 2017
International and Alumni Relations Student Council, IIT Madras
Manager, IITM TV
March 1, 2015 – March 1, 2016
Quantitative Algorithms generation and Arbitrage Trading in Cryptocurrencies Market
June 1, 2017 – October 1, 2018
Created Algorithm which executes trade orders and finds Arbitrage in the Prices of different Cryptocurrencies. I am working on ticker which shows the possible Arbitrage Opportunities in this Volatile Markets. Tools Used: Python, REST APIs, Numexpr for performance improvement, Matplotlib
Sentiment Analysis of NEWS and its effect on Stock Market
May 1, 2017 – June 1, 2018
Working in a team of 2, we created Live Sentiment Analyser which analyses news from different sources( RSS feeds ) and Google Trends data. Module and Package generated shows High Correlation with Stock Prices and Market Movements. It can be used for Predictive Analytics of Stock Market and Quantitative Trading to get better Returns. I am further training the Module to develop it to use it for Cryptocurrencies Market which will help me in my current projects. Tools Used: Python, NLTK for Natural Language Processing, Newspaper, Matplotlib, Scikit Learn, Google Trends, APIs, Tensorflow,
Financial Modelling using Data Analysis for Business Strategies | Wharton Business School | University of Pennsylvania | USA
January 1, 2017 – May 1, 2017
Guide: Prof. Richard Lambert & Prof. Don Huesman, Wharton Business School | University of Pennsylvania | USA • Recommended business strategies based on a data model constructed using a dataset designed by Wharton Research Data Services (WRDS) • Implement quantitative models in spreadsheets to identify the best opportunities for success and minimizing risk Tools Used: RStudio, Excel with VBA, APIs, Yahoo Finance
Piston: Study for Mechanics of Deformable Solids for Better Design, Safety Factor
August 1, 2015 – November 1, 2015
Work on piston as part of Engine with view point of deformation and safety factor. Have done extensive study for choosing right material for Piston with piston head, rod, and pin. Done FEM Analysis for piston using SolidWork and other CAD software. Prediction of Failure based on Data retrieved from FEM Analysis Ways to improve design of piston for longer life and better Factor of Safety.
Solar Tracker Development for Solar Cells to improve Efficiency
January 1, 2015 – April 1, 2015
•One among top 5 to get selected out of 50 applicants; team which is responsible for development of Solar tracker •Improved efficiency by 20% of solar panels by developing a solar tracker which is currently being used in IIT Madras
Development of device for wall scrappers to Reduce body pain
January 1, 2015 – July 1, 2015
•Developed frugal support system for wall scrappers which will reduce fatigue caused to the body due to scrapping and increase efficiency by around 23% by restricting the body motion
edX Honor Code Certificate for Introduction to R Programming
edX
June 24, 2026 – Present
Introduction to Spreadsheets and Models
Coursera Course Certificates
June 24, 2026 – Present
The Global Financial Crisis
Coursera Course Certificates
June 24, 2026 – Present
Principles of Valuation: Time Value of Money
Coursera Course Certificates
June 24, 2026 – Present
Trading using Options Sentiment Indicators
QuantInsti
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Series VIII: Equity Derivates
National Institute of Securities Markets (NISM)
June 24, 2026 – Present
Modeling Risk and Realities
Coursera Course Certificates
June 24, 2026 – Present
Trading Algorithms
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Fundamentals of Quantitative Modeling
Coursera Course Certificates
June 24, 2026 – Present
Decision-Making and Scenarios
Coursera Course Certificates
June 24, 2026 – Present
Intro to Python for Data Science
DataCamp
June 24, 2026 – Present
SQL Fundamentals course
Sololearn
June 24, 2026 – Present
Introduction to Machine Learning for Trading
QuantInsti
June 24, 2026 – Present
IBM Blockchain Essentials
IBM
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily skewed towards quantitative finance, trading, and engineering. While this demonstrates strong analytical capabilities, the diversity of projects outside of these core areas is limited. The target role of 'Data Analyst' is well-aligned with the candidate's technical skills, particularly in data analysis, modeling, and predictive analytics. However, the focus on high-frequency trading and specialized financial algorithms might indicate a preference for highly technical, fast-paced environments, which may or may not align with the specific cultural nuances of the hiring organization. The candidate's experience in student councils also shows leadership and organizational skills.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and results-oriented individual, with experience in leading teams (Head of Media at IIT Madras) and improving efficiency (Solar Tracker, Wall Scrappers device). The quantitative trading roles suggest strong analytical thinking and decision-making under pressure. However, without specific psychometric test results, a detailed assessment of stress handling, work attitude, and team collaboration is limited.