Work Experience 🚀

💼 Total Professional Experience (Till July 2024)

B2B investment firm that provides risk-adjusted performance across private and secondary markets investment strategies.

Full Time: Jan 2023 - July 2024

Hong Kong

Applied Ensemble Learning methods to analyze historical data & identify alpha signals, boosting portfolio returns by 15%.
Developed regression models, dimensionality reduction and error metrics to approximate daily VaR with < 3% error.
Designed and implemented an automatic data processing system for weekly performance report using Python.
Received the highest performance rating given to top-quartile interns and was offered a full-time role during internship.

BRAIN is a research platform developed by WorldQuant, a global quantitative asset management firm with over $7 billion in assets under management.

Part Time: April 2024 - Present

Remote

Conducted quantitative research to design and backtest trading signals based on momentum, reversal, and volatility to predict global equity performance.
Submitted 50 trading alphas with Sharpe > 2 and correlation < 60%, with 41 used in production models.
Hired after Gold Level in WorldQuant Challenge & qualifying for Stage 3 (Top 5%) International Quant Championship, 2024.

Invygo is UAE's first & largest car subscription service through an app and web-based experience.

Internship: June 2021 - August 2021 (3 months)

Dubai, U.A.E

Developed a predictive analytics system using ML to forecast inventory demand, achieving a 20% reduction in overstock and a 10% reduction in stockouts.
Utilized machine learning algorithms to analyze user behaviour patterns, enabling the prediction of churn rates with 90% accuracy and informing targeted retention strategies.
Worked with product manager to re-architect the software framework to optimize user data funnels and inventory management towards car dealers, boosting revenue by 6% after implementation.

SustVest is a global crowdfunding platform for investments in green assets like solar projects and EVs.

Part Time: March 2020 - August 2020 (6 months)

Delhi, India

Refined a machine learning based-fintech algorithm, enabling investments in green energy with entry-level stakes of $8, attracting over 1000+ small-scale investors in year one.
Assisted CEO with research, planning, and implementation of new business programs and protocols. Supervised the development of the automated platform