Massachusetts Institute of Technology

Indian Institute of Technology, Roorkee

Data Scientist at BlackRock  -  MIT  -  IIT Roorkee

1. Managing development of AI enabled product from discovery to release phase
2. Supervising a team of data scientists, data engineers and manual testers in development and release work

Medidata Solutions

Senior Product Manager AI

1. Developed machine learning models and created interpretable solutions for better management of risk associated with different financial products and trading strategies
2. Facilitated and managed adoption of technology in different business practices

BlackRock

Associate (Data Scientist), Risk and Quantitative Analysis

1. Built a collaborative filtering based product recommendation engine for clients based on geographical characteristics and historical sales using Python and R; recommended 4-5 new personalized products to each client
2. Coordinated with sales team to run a pilot recommending new products in a small district in Mexico, achieved a lift of 1%

Arca Continental

Data Scientist | MIT Capstone Project

I have worked with 30+ clients and helped them in solving high impact business problems by providing decision support through big data tools, data wrangling and statistical modelling. I have lead and worked on pilot projects for Tourism, Retail, Hotels, Airlines, Banks, Restaurant, Entertainment, Transportation; providing end to end analytical solutions. 

Projects:
1. Worked with sales team to build an opportunity identification model for banks using Python, PySpark and Hive; resulted in sales of $2M; received Excellence and Teamwork Award

2. Developed a cross-sell model for banks to identify consumer cards which were being used as commercial cards using K-means clustering in Python and PySpark; resulted in a proposal to banks to upgrade 10% of the cards

3. Collaborated with marketing team to automate tool for generating tourism reports, reduced run time by 30%; received Award for Innovation

4. Identified opportunities for potential collaboration of the client with other brands based on customer spend behavior leveraging K-means clustering in SAS and a loyalty segmentation dashboard

5. Built a SAS-based market performance tool for a client and automated the performance dashboard using VBA; reduced manual effort by 80%
                    

Extra Curriculars:
1. Girls4Tech workshop (Oct 2017)
Organized workshop around different aspects of Data Science for school girls in Gurgaon 

2. STEM internship program (Jun 2017, 2018)
Mentored school students in a two week long internship program

3. Bagged 2nd place in Mastercard global AI challenge; worked in a team of 4 members to develop an image classifier for detecting objects and people in a video stream using convolution neural network

Srishti Gupta