Apr 2025 – Apr 2025 · 0 mo · Morocco · Remote

• Utilizing alternative data sources like news sentiment and satellite images to develop quantitative intraday trading strategies.
• Collaborating with team members to analyze economical indicators for building robust data-driven models.
• Implementing innovative approaches to enhance trading strategies and optimize decision-making processes.
• Left after a month because of extreme unprofessional behaviour by the firm members.

Oct 2024 – Apr 2025 · 6 mos

• Founded "Arbitrage: The Quant Club" at IISER Bhopal, the first Quantitative Finance Club across all IISERs. Leading initiatives to bridge the gap between finance, mathematics, problem solving and coding, fostering a community of enthusiasts exploring quantitative trading, and cutting edge AI based strategies. Organizing workshops, discussions, and hands-on sessions by collaborating with giants like WorldQuant to equip students with the skills needed to navigate and ace the world of quantitative finance.

Sep 2024 – May 2025 · 8 mos · Remote

• Researched Volatility Skew, Implied Volatility Alphas and F-test for Regime Change Detection and Mean Reverting Trading.
• Developed Statistical Arbitrage models using co-integration test and rolling regression based OU process residual modeling for Stocks & ETFs.
• Built Options-driven Futures strategies using OLS on log-skew vs. time to maturity to estimate and generate threshold based trading signals using the Hurst exponent.
• Experimented with volatility estimators (Parkinson, Rogers-Satchell, Garman-Klass, Yang-Zhang), GARCH models and Autocorrelation for modeling seasonal volatility clustering patterns.
• Experimented with Alternative Data like Satellite Images, Weather and Climate data, and News Sentiment to generate trading signals for Agriculture and Energy ETFs and Futures.

Aug 2024 – Jun 2025 · 10 mos

• Worked on Adaptive Decomposition for Non-Stationary Multivariate Time Series Modeling and Forecasting using Advanced Deep Learning Architectures Like Transformers.
• Used Spectral Analysis, Fourier and Wavelet Analysis, Empirical Mode Decomposition and Shannon Information Theory to extract dominant frequencies and multiple cyclic and complex overlapping seasonal patterns of the data. Used Kalman Filters adaptive modeling to detect regime shifts and Bayesian Change Point Detection for early detection of anomalies.
• Worked on GPU Acceleration, Multi-GPU training, Quantization and Automated Mixed Precision for faster training and inference on NVIDIA H100 Tensor Core GPU.
• Worked with Linux, Bash Scripting, Git, CUDA, DASK, RAPIDS frameworks for gigabytes of multivariate time series data.
• Fine-tuned LLMs and BERT architectures using Transfer Learning techniques by Tokenizers and built fine-tuning pipelines for complex Natural Language Processing tasks like Financial Sentiment Analysis and Masked Language Modeling.

Dec 2020 – Jun 2025 · 4 yrs 6 mos

Jul 2024 – Sep 2024 · 2 mos · Pune, Maharashtra, India

• Developed institutional option selling models for Index Options.
• Performed comprehensive backtesting to validate and refining the algorithmic trading models.
• Used TradeTron platform to build and backtest Options Trading Strategies
• Collaborated with senior analysts to implement and test new financial algorithms.
• Utilized quantitative analysis to support the development of robust, data-driven trading solutions.

Jun 2024 – May 2025 · 11 mos

• Quantitative Research - Conducting in-depth quantitative analysis to develop novel trading strategies using statistical and financial models to identify predictive signals in diverse datasets.
• Alpha Generation - Designing and tested new alphas that improved portfolio’s overall performance with high sharpe ratio, and low max drawdown and turnover.

Jun 2024 – Apr 2025 · 10 mos · Bhopal, Madhya Pradesh, India

Jun 2024 – Aug 2024 · 2 mos

• During this internship, I focused on developing alphas for commodity and forex derivatives. My work involved leveraging MetaTrader 5 (MT5) and MQL5 to build and backtest algorithmic trading strategies using Tick by Tick data. This experience enhanced my skills in quantitative research, algorithm development, and real-time data analysis, contributing to my understanding of market microstructure and the backtesting of mid to high-frequency trading strategies.
• Unfortunately took an early exit from a 6 months internship because of personal health issues.

May 2022 – Oct 2022 · 5 mos

• My learnings were :
• Developing and implementing content strategy: I have experience in identifying the target audience, creating a content calendar, and setting goals for each piece of content.
• Content creation: I have written and edited a wide range of content, including blog posts, articles.
• SEO: I have experience in optimizing content for search engines, and in using keyword research to drive traffic to a website.
• I am able to work well under pressure, meet deadlines, and adapt to changes in strategy. I am a creative problem solver and a team player, and I am always looking for ways to improve my skills and stay up to date with the latest trends in content management.

Apr 2022 – Oct 2022 · 6 mos

• Started this venture with one of my business partner.
• As an investment advisor, I have a deep understanding of the financial markets and a wealth of experience in helping clients achieve their investment goals.
• My responsibilities have included:
• Developing investment strategies: I have experience in creating personalized investment plans for clients based on their risk tolerance, investment goals, and time horizon.
• Portfolio management: I have experience in selecting, buying and selling investments such as stocks and crypto. I have also experience in monitoring and adjusting portfolios as market conditions change.
• Research and analysis: I have experience in conducting research and analysis on a wide range of investments, including individual stocks, bonds, and mutual funds, as well as broader economic and market trends.
• Client communication: I have experience in communicating with clients to provide regular updates on their investments, review their financial goals, and make any necessary adjustments to their investment plans.
• Risk management: I have experience in identifying and managing risks associated with investments by implementing diversification techniques and regular monitoring of portfolio performance.

Sep 2021 – Jan 2022 · 4 mos · Bhopal, Madhya Pradesh, India

• Started A Tech Blog Website.
• My learnings were :
• Staying informed on the latest technology developments: As a tech blog I was keeping myself up-to-date with the latest trends and advancements in the technology industry.
• Improving writing skills: Writing for a tech blog requires clear and concise communication, which helped me in improving my writing skills and learning how to effectively convey complex ideas to a wide audience.
• Opportunities to learn new skills: Blogging about technology gave me an exposure to new tools, platforms, and technologies that I haven't experienced before.
• Learned the Blog Analytics : Received the knowledge of blog analytics, SEO (On-Page) and various great tools that helped me to optimize my blog articles.
• Learned To Build A Website - I learned how to build a website from scratch, how to upload content on a website and grow your website by increasing the audience retention rate.

Jun 2021 – Oct 2022 · 1 yr 4 mos

• Represented the Entrepreneurship Cell IIT Bombay in my college.
• Promoted the ECell events in my campus.
• Acted as a liasion between the ECell committee and students of my college.
• Spread the awareness of various competitions and workshops related to Entrepreneurship.

May 2021 – Aug 2021 · 3 mos

Mar 2021 – Apr 2021 · 1 mo