Aug 2021 – Aug 2022 · 1 yr · Atlanta, Georgia, United States

• Assignments Support, Students Forum, Office Hours, Grading
• About me: MS Quantitative and Computational Finance Candidate, Scheller College of Business (Jan 2021-May 2022)

Sep 2019 – Dec 2020 · 1 yr 3 mos · Greater Bengaluru Area

• Electronic Trading Execution Services
• Optimal Execution | Best Ex
• Market Microstructure
• In-depth Transaction Cost Analysis
• kdb+/q • py • py-dash • py-flask • git • latex • jxls • panopticon • qpad • bloomberg

Aug 2018 – Sep 2019 · 1 yr 1 mo · Bengaluru, Karnataka, India

• Quantitative Analyst - Alpha Researcher
• Design, Backtest, and Deploy Multi-region Trading Strategies (US Equities, India Futures)
• Tradesheet, and Backtest Tearsheet Analysis, Risk Calibration
• Analyzing Alternative Datasets in Finance, Identifying Statistical Patterns & Creating Signals
• Preparing Quant Research Reports | Strategy Performance Reports
• Integrating Order Execution Python API with Trading Systems
• Pairs Trading (Co-integration based) in Oil Sector US Equities
• Worked on building Event-based Backtest Engine/Platform (Python). [For dev use]
• Worked on building Trading and Backtest Engine/Platform (C#). It is forked from an Open Source Project. Made it compatible to backtest strategies on NSE Futures. [For production use]
• Setting up CLI Backtesting Platform using Docker
• Algo Trading Platforms: Quantopian, QuantConnect LEAN, CloudQuant
• Studied MScFE at WorldQuant University
• Skills and Tools: python, jupyter notebook, ta-lib, zipline, pyfolio, C#, mongoDb, docker, bash scripting, git, linux
• Curl Analytics (now Curl Capital) https://curl.capital/ is ML focussed algorithmic trading strategy firm. I had an invaluable experience working with seasoned trader Mr. Kusal Kansara and experienced quant, Mr. Shivaram KR.

Aug 2017 – Aug 2018 · 1 yr · Mumbai, Maharashtra, India

• DCX Centre of Excellence
• Developed a blueprism bot to extract tickers information from Google Finance.
• Developed a bot to automate daily exceptions report on bots in prod.
• Monitoring existing bots in production. (Providing feedback for in-dev bots)
• Dashboard: Dynamic tiles to showcase performance of bots to the client (SQL)
• Completed extensive 90-days training & assignments On: Core Java, JUnit, Log4J, Servlets, JSP, JPA with Hibernate, Spring MVC, Web Services (SOAP & REST), JavaScript, jQuery, AngularJS, PL/SQL, SOA, DevOps
• Capstone Project: Flights Reservation System (Full Web Application)
• Skills and Tools: Eclipse IDE, Java, Blueprism, SQL Management Studio
• Robotic Process Automation (RPA) Development: Creating software robots to automate business processes. These bots mimic the flow of actions, clicks, and keys by interacting with GUI and handle data in and between applications.

Feb 2017 – May 2017 · 3 mos · Mandi Area, India

• Course: Programming and Data Structure Practicum
• Guidance and Grading, Lab Assignments.

Jun 2016 – Jul 2016 · 1 mo · Delhi

• (Solid State Physics Laboratory, DRDO, New Delhi)
• MEMS Division
• Understood how MEMS devices work and their applications
• Simulated an equivalent electrical circuit model for these microelectromechanical systems like Microcantilever, Bi-axial MEMS mirror, etc.
• Compared the result from this modeling to the results of conducted FEM analysis.