Sachin Beejawat — AI Researcher

Hello, I am Sachin Beejawat, an undergraduate student at IIT Jodhpur. My major is in Mechanical Engineering with courses on Finance and Economics. Interested in applying data analytics and problem-solving skills to solve real-world complex business problems. My strength lies in deep perseverance and critical thinking and a consistent vigour to learn. I hold a decent academic with currently ranked third in Mechanical Engineering Class of 2020 at IITJ I recently completed an internship with a Quantitative research firm "Quantify Capital" where I was involved with writing quantitative trading algorithms in python to sell OTM call and put options at different confidence intervals to generate alpha along with the application of appropriate risk management strategies to reduce maximum draw-down I had also done two research internships in the past (TCS R&D Pune and IIT Ropar) both of which resulted into research papers which are published in reputed journals (Renewable Energy ( IF : 8.001) and Transaction of IIM ( IF : 1.176) ( Link to papers : https://www.researchgate.net/profile/Sachin_Beejawat) I would define myself as a detail-oriented Technocrat with a demonstrated history of working in the areas of Finance, Analytics, Research and Product Development. Skilled in Business Analytics, Numerical Analysis and Engineering tools like C++, SQL and Python. When not working, I can be found playing and watching cricket. I love watching thrillers and learning new things. I also love to read autobiographies and to know more about history.

Stackforce AI infers this person is a Quantitative Finance and Data Analytics professional with a strong foundation in Mechanical Engineering.

Experience: 6 yrs 1 mo

Skills

Quantitative Finance
Data Analytics
Quantitative Risk Analysis
Model Validation
Quantitative Research
Numerical Simulation
Research

Career Highlights

Ranked third in Mechanical Engineering at IIT Jodhpur
Published research papers in reputed journals
Developed predictive options pricing models with high accuracy

Work Experience

Dolat Capital

Quantitative Researcher (HFT) (2 yrs 11 mos)

Evalueserve

Quantitative Risk Analyst (1 yr 2 mos)

Quantify Capital

Quant Research Associate (2 mos)

Tata Research Development and Design Centre (TRDDC)

Summer Internship (2 mos)

Careers Planning Club

Captain (11 mos)

Indian Institute of Technology, Ropar

Research Assistant Intern (2 mos)

Careers and Planning Club

Assistant Head (9 mos)

Team Vajra 2.0 (SAE Baja 2018)

Vehicle Dynamics Engineer (10 mos)

Education

Bachelor of Technology - BTech at Indian Institute of Technology Jodhpur

Science and Maths at St Stephen's Senior Secondary School,Ajmer

Sachin Beejawat

AI Researcher

Rajasthan, India6 yrs 1 mo experience

Key Highlights

Ranked third in Mechanical Engineering at IIT Jodhpur
Published research papers in reputed journals
Developed predictive options pricing models with high accuracy

Stackforce AI infers this person is a Quantitative Finance and Data Analytics professional with a strong foundation in Mechanical Engineering.

Contact

Skills

Core Skills

Quantitative FinanceData AnalyticsQuantitative Risk AnalysisModel ValidationQuantitative ResearchNumerical SimulationResearch

Other Skills

ANSYS FluentC++CFDData AnalysisData Structure and AlgorithmsDeep LearningExcelExperimental SetupJavaLinuxLogistic RegressionMachine LearningMarket Basket AnalysisProject ManagementPython

About

Experience

Dolat capital

Quantitative Researcher (HFT)

Mar 2022 – Feb 2025 · 2 yrs 11 mos · Mumbai, Maharashtra, India

Conducted in-depth tick data analysis of market microstructure using custom Bash scripts and Python, resulting in the development of predictive options pricing models achieving 58-68% directional accuracy.
Researched and developed custom indicators in C++ to enhance the performance of pricing models and improve signal prediction accuracy.
Designed robust trading signals by combining models across multiple time horizons, integrating them with market-making execution strategies through parameter optimization and rigorous backtesting against historical data.
Designed an order quoting logic integrated with an adaptive dynamic modeling technique, implemented using ultra-low latency C++ execution in a Linux environment, achieving a tick-to-order latency of approximately 1–1.5 microseconds.
Developed and implemented advanced risk management techniques, including options Greeks hedging and position sizing, resulting in a 12% reduction in drawdowns.
Developed and executed live trading strategies for weekly expiry options on the National Stock Exchange (NSE India) and Bombay Stock Exchange (BSE), consistently generating profits for the company.

PythonC++LinuxRisk ManagementData AnalysisQuantitative Finance+1

Evalueserve

Quantitative Risk Analyst

Jan 2021 – Mar 2022 · 1 yr 2 mos · Gurugram, Haryana, India

Conducted model validation for a recommendation system designed to suggest a diversified portfolio of funds to financial advisors, leveraging their current fund holdings through the Market Basket Analysis algorithm.
Executed IV surface calibration for equity options using bi-cubic interpolation techniques, followed by automating the process with Excel integration via XLWings and Python.
Developed an internal credit risk model for a retail bank's residential mortgage portfolio, adhering to Basel, IFRS, and IRB guidelines, utilizing decision trees and logistic regression.

PythonExcelMarket Basket AnalysisLogistic RegressionQuantitative Risk AnalysisModel Validation

Quantify capital

Quant Research Associate

Apr 2020 – Jun 2020 · 2 mos · Remote

1) Writing quantitative trading algorithms and back-testing to generate alpha.
2) Extracting, analyzing and interpreting a variety of data
3) Analyse large financial data sets to identify trading opportunities
4) Design, back-testing and implementation of strategies

PythonData AnalysisQuantitative Research

Tata research development and design centre (trddc)

Summer Internship

May 2019 – Jul 2019 · 2 mos · Pune Area, India

Work done as a part of internship titled " Numerical Simulation of a Coke Oven using decoupling techniques" published in Journal Transaction of IIM ( IF:1.1.176) (DOI:10.1007/s12666-020-02023-6)
Guide - Manendra Parihar
Tasks:
1) Developed a numerical model in ANSYS Fluent to simulate the combustion chamber of an industrial coke oven using steady flamelet approach
2) Perform transient analysis of coking chamber to simulate temperature evolution inside the coal-coke bed of a coke oven
3) Propose an alternate 2D computationally cheaper model of combustion chamber of a coke oven

ANSYS FluentCFDNumerical Simulation

Careers planning club

Captain

May 2018 – Apr 2019 · 11 mos · IIT Jodhpur

Indian institute of technology, ropar

Research Assistant Intern

May 2018 – Jul 2018 · 2 mos · Ropar,Punjab

Work done as a part of internship titled "Silicone oil envelope for enhancing the performance of nanofluid-based direct absorption solar collectors" published in Journal of Renewable Energy, Elsevier ( IF: 8.001) (Link: https://doi.org/10.1016/j.renene.2019.08.024)
Guide - Dr Himanshu Tyagi
Tasks :
Worked on two projects-
(1) Investigating the effect of thin-film of silicone oil on nanofluid based solar collectors: Results were observed on experimental setup and then verified numerically using CFD solver (COMSOL). Approximately 17% increase in maximum Temperature was as compared to without the use of silicone oil.
(2) Study of the effect of mass fraction and flow rate on Nanofluid-based solar collector: This was an experimental study to find the optimum mass fraction and flow rate that would result in a maximum temperature rise at the outlet of spiral collector.

CFDExperimental SetupResearch

Careers and planning club

Assistant Head

Jul 2017 – Apr 2018 · 9 mos · IIT JODHPUR

Mentor 180 freshmen year students about various career options and their preparations. Also help freshmen students to explore and choose their field of interest.

Team vajra 2.0 (sae baja 2018)

Vehicle Dynamics Engineer

Mar 2017 – Jan 2018 · 10 mos · Jodhpur Area, India

Design and Manufacture vital components of Brake Circuit such as Rotor Disc, Brake Pedal, Flange etc.
Understand the basic principle of heat generation on brake disc and use this to find out temperature of brake disc on different loadings.
Perform Braking Calculations incorporating all the pressure losses in the various components of Brake Circuit.