Kaushik Sanghani

Business Analyst

Mumbai, Maharashtra, India5 yrs 6 mos experience

Most Likely To Switch

Key Highlights

Expert in quantitative analysis and financial modeling.
Developed multiple frameworks for investment portfolio optimization.
Passionate about integrating psychology and philosophy into data science.

Stackforce AI infers this person is a Fintech professional with strong quantitative analysis and data science skills.

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Skills

Other Skills

API DevelopmentAlgorithmic TradingC (Programming Language)Decision-MakingEconomicsFinanceFinancial AccountingFinancial PlanningFundamental AnalysisFuture tradingIndex OptionsInvestment PortfoliosMATLABManagement AccountingMicrosoft Excel

About

Portfolio website: https://kaushik241.github.io/portfolio-website/blogs.html As a quant analyst and data science enthusiast, I am passionate about using mathematical and statistical methods to understand and solve complex problems. With a background in MSc. Mathematics and experience as a consultant in a portfolio firm, I have a strong foundation in quantitative analysis and problem-solving. In addition to my technical skills, I am also interested in psychology and philosophy, which helps me bring a holistic perspective to my work. I am always looking for new challenges and opportunities to learn and grow in the field of data science, machine learning, and natural language processing.

Experience

Iragecapital advisory private limited

3 roles

Quantitative Analyst

Jul 2024 – Present · 1 yr 8 mos · Mumbai, Maharashtra, India · On-site

Quantitative Analyst Intern

Dec 2023 – Jun 2024 · 6 mos · Mumbai, Maharashtra, India · On-site

Working on low latency arbitrage strategies.

Quantitative Analyst Intern

May 2023 – Aug 2023 · 3 mos · Mumbai, Maharashtra, India · On-site

Designed Sequential Rule Mining Framework (fpgrowth algorithm) on the
NIFTY-500 Cash market data on 1m interval and mined more than 1 Million rules with the use of spmf, mlxtend and multiprocessing which can be directly traded. Also changed in the mlxtend library to optimzed the code time as well as memory efficient.

Iit bombay - shailesh j. mehta school of management

Master's Thesis

Jan 2024 – Jun 2024 · 5 mos · Mumbai, Maharashtra, India · On-site

Working on my master's thesis under Prof. Piyush Pandey and Dr. Gaurav Raizada in the field of Quantitative Finance.

Airender

Data Science Intern

Feb 2023 – Mar 2023 · 1 mo · Bengaluru, Karnataka, India · Remote

Indian institute of management bangalore

Internship

Dec 2022 – Apr 2023 · 4 mos · Bengaluru, Karnataka, India

Working on the developing double auction trading platform using oTree markets to analyze and understand participant behavior in various scenarios, such as changes in brokerage fees and temporary trading halt. I utilized technologies such as Django, oTree, and JavaScript under the guidance of Professor Anirudh Dhawan.

Xumit capital

Quantitative Analyst

Nov 2021 – Apr 2023 · 1 yr 5 mos · Ahmedabad, Gujarat, India

I have designed and implemented multiple back-testing and screening frameworks using various fundamental and indicator-based factors for analyzing and optimizing investment portfolios. I have also developed a goal-based investing web application for client risk profiling and portfolio recommendations, and a sentiment analysis project for predicting the impact of commodity news on market sentiment. My expertise in Python, Vectorbt, Postgres, Flask, and other relevant technologies has enabled me to provide high-quality and insightful solutions to Xumit Capital, while also deploying frameworks on AWS for real-time implementation.