Vasu Singh

Data &
Analytics Specialist

01

Know
About me

Hey there, I'm Vasu!

Data Enthusiast and Problem-Solver Extraordinaire

Who Am I?

I'm not your average data geek—I'm a problem-solving wizard with a flair for all things data.

I'm currently rocking the role of an Associate in the Data Intelligence Group. Here, I'm in the zone, crafting completely automated CI/CD data pipelines with Google Cloud Functions and teaming up with experts from all walks of life to dish out data-driven solutions and eye-popping reports. On top of that, I've got my hands dirty with building automated waterfall models for big private equity clients, super-scalable FastAPI endpoints hosted in containerized servers for big applications, and battle-tested multiple complex backtesting strategies.

Beyond the Data Crunching

When I'm not diving deep into data, you'll catch me running wild on the football field or smashing birdies on the badminton court. I've got an ear for music that's as good as my data skills, and I'm a hardcore anime aficionado.

Get in Touch

Ready to start a conversation? Drop me a message at my email or connect with me on Social Media [See Contact Section]. Let's turn our ideas into reality.

02

My
Experience

March 2021 - Present

TresVista

Associate

1. Executed the development of fully scalable FastAPI endpoints for a notice generation application on Python through privately deployed serverless Cloud Run containers for a private equity secondaries fund

Senior Analyst

1. Established automated end-to-end CI/CD pipelines using Google Cloud Functions to extract data using APIs
2. Collaborated with cross-functional teams to understand data needs and provided solutions for data analysis and reporting by orchestrating multiple Cloud Workflows
3. Built a private equity fund model automated at a daily level based on a waterfall sequence of tranches for a Special Purpose Vehicle (SPV) using object-oriented programming in Python

Analyst

1. Implemented multiple backtesting strategies for IPOs and Follow-Ons to identify volatility and returns using Python for a leading hedge fund client and provided automated P&L Excel reports, resulting in improved efficiency by 85% and scalability of strategy analysis
2. Collaborated with portfolio managers to understand their investment strategies and created a user interface for the execution of the algorithms using streamlit to visualize and analyze trends in the form of charts and tables
3. Created and tested a custom hypothesis using Agglomerative Hierarchical Clustering to figure out the best-performing stocks for a 6 month rolling period, based on fundamental financial metrics like ROIC, P/B, P/E and UFCF
February 2020 - July 2020

Aditya Birla Management Corporation

Data Science Intern

1. Worked on a team to develop and implement analytical solutions for predicting Crude Oil prices and predicting if the market will be bullish or bearish
2. Collaborated with subject matter experts to understand market trends and gather data on factors affecting crude oil prices such as oil rig counts, weekly stocks in the ARA region, OPEC production capacity
3. Implemented advanced algorithms like various univariate Time Series (ARIMA, SARIMA) and multivariate forecasting Models (XgBoost, RandomForest) on Nvidia DGX systems to train and predict the price of crude oil with up to 50% fidelity
4. Implemented Grid Search to find a set of optimal hyperparameter values for the optimized algorithm which maximizes the model's performance