Hey, I'm Aahaan!

Machine Learning Engineer Internship @ Quantiphi

1. I leveraged and built new computer vision and point-set registration models to increase the NFL's brain and concussion safety measures.
2. As part of a client delivery team, I researched and built pipelines to use machine learning models to analyze COVID-19 genomic data for a) mapping the spread of the pandemic and b) predicting harmful variants in the future

Learn more →

Consulting Challenge with Royal Dutch Shell

Worked with Shell to accelerate towards their net-zero emissions goal by 2050.

Our solution involves leveraging unutilized waste heat from their refineries to decrease green hydrogen production costs by 45%, from €5.25 to €2.86.

Recommendation deck →

After going through our recommendation deck, Shell selected us as finalists and I got to pitch live to a team of Shell executives about our solution and discuss next steps.

Working with the United Nations

Worked on a project with the United Nations Women department to tackle the challenge of increasing female employment in the digital economy.

My team and I developed a pipeline to establish post-secondary internships with on-the-job learning for women in South Africa by 2026.

Recommendation deck → | Report →

Consulting Challenge for Instacart

Tasked with the challenge of improving customer experience for grocery giant Instacart.

My team and I came up with an approach to implement an Insta-rewards system, add additional features to their app and developed a proprietary white-glove shopper service.

Recommendation deck →