Building Maersk's new integrated supply chain platform - for providing end to end logistics solutions. Visibility, Planning & Optimization.

M&A LifeSciences division. 1. Business development: Shortlisted 100 leads from 1600+ firms using automated webscraping and fin/ops metric analysis2. Sales Pitch: Created Profiling/Pitchdeck of companies to pitch to clients3. Research: Redesigned valuation framework to analyse 150+ M&A deals since 2018 and derive market trendsAchievements: Presented internship progress to the Co-founder & Sr Director.

Accelerate Amazon's flywheel by improving selling partner experience to fast-track growth. Partnered with Product managers across teams, the Selling partner experience Analytics division supports decision making by conducting descriptive, inquisitive, predictive and prescriptive analytics. - Two VP level awards- Single thread leader of data and metrics of two Amazon marquee programs (300 bn$, 1mn sellers affected)- Worldwide POC for product goal metrics and reporting for 10 Directors and 5 VPs- Evaluated feature impact using A/B testing on sales, adoption and friction goals for 1mn+ sellers

1) Fortune 20 Oil & Gas conglomerate | Automated document data extraction & validation resulting in savings of $2 mn & 10,000 man-hours. - Created data assets by implementing classification ML model, OCR, and automated ETL ops. - Built a PowerBI & PowerApp dashboard to view, edit, and export data.2) Fortune 20 international automobile manufacturer | Improved executive incentive scheme by providing interactive performance monitoring dashboard- Created data assets and automated ETL procedures3) Fortune 100 international bank | Reduced time to market of ML models from 2 months to 3 weeks, utilizing model lifecycle management tool and automating validation- Developed evaluation framework and tested AutoML/Model lifecycle management platforms- Automated custom validation and report generation4) Developed internal R&D on methods & applications of Optical character recognition - Evaluated and documented results of open source ML models, packages, and third-party tools- Worked with computerized, handwritten, tabular, typewritten, and form type data

Analysis of Indian equities in the metals and mining sector to forecast future performance and provide recommendations to clients.

www.strangematter.in - National award winning student project, received multiple funding offers

www.ahummingheart.com

Trained in technical analysis of forex & stocks, created a successful trading strategy.

Developed a product pitch, generated and contacted leads to expand business in a new direction.

The Strange Matter team (student startup from MIT) reached the final round of this all India start-up challenge (IIDC '16-'17). We received product development grants of over INR 5,25,000.