About

Hello, I'm Meet (pronounced as Mee-th), a data science graduate student at the University of Pennsylvania. With a strong engineering background from the Indian Institute of Technology Madras, I strive to bring a distinctive perspective to my data science work. Currently, I'm working as a Data Science Co-op at Amazon Robotics, focusing on congestion and deadlock detection on structured warehouse floors using Dynamic Graphs. Previously, I served as a Senior Data Scientist at a consulting firm, gaining expertise in Machine/Deep Learning, Statistics, and Optimization. My passion involves employing data-driven approaches to tackle real-world problems, and I'm always eager to collaborate with professionals with similar interests.

Interests

Applied Machine Learning

Natural Language Processing

Computer Vision

Statistics & Optimization

Time Series Analysis

Big Data

Healthcare Analytics

E-commerce

Contact

Email

mgandhi5@seas.upenn.edu

Education

University of Pennsylvania

MS in Data Science (4/4)
August 2022 - Present
  • Statistics for Data Science
  • Big Data Analytics
  • Machine Learning
  • Deep Learning
  • Forecasting Methods
  • Machine Learning and Health Language Processing

Indian Institute of Technology Madras

M.Tech. in Automotive Engineering (9.04/10)
July 2014 - May 2019
  • Control of Automotive Systems
  • Vehicle Dynamics
  • Automotive Engines & Systems
  • Energy Storage Devices & Systems
  • Mechatronics System Design
  • Structural Dynamics & Vibrations

Indian Institute of Technology Madras

B.Tech. in Engineering Design (9.04/10)
July 2014 - May 2019
  • Calculus
  • Solutions to Ordinary Differential Equations
  • Partial Differential Equations & Numerical Methods
  • Linear Algebra & Optimization
  • Optimization Methods in Engineering Design
  • Computer Simulation
  • Fundamentals of Operations Research
  • Control Systems

Experience

Amazon RoboticsMay 2023 - Present

Data Science Co-opMay 2023 - Present
  • Working on congestion and deadlock detection in structured robotic warehouses using Graph based methods

University of PennsylvaniaSeptember 2022 - Present

Graduate Assistant: Office of Vice Provost for Student Engagement (VPSE)September 2022 - Present
Teaching Assistant: Machine Learning for Data Science (ESE5410)January 2023 - May 2023

ZS Associates3Y 1M • July 2019 - July 2022

Data Science Associate ConsultantDecember 2021 - July 2022
  • Designed, executed, and delivered high-impact analytical solutions to help clients make better fact-based decisions.
  • Evaluated emerging datasets and technologies that may contribute to thought leadership.
  • Developed assets/accelerators for efficient scaling of capability.
Data Science AssociateJuly 2019 - November 2021
  • Collaborated with diverse client and internal teams to develop Machine Learning systems for analyzing and extracting insights from large amounts of complex, structured, and unstructured data.
  • Created NLP algorithms to optimize research approval and marketing strategies by analyzing social media, news articles, and medical studies.
  • Developed patient-level models to optimize sales and targeting strategies.
  • Designed stock-out/risk prediction models to optimize supply chain management.

JK Tyre & Industries6M • December 2017 - May 2018

Design, Optimization & Simulations Intern
  • Optimized carcass profiles in radial tires to minimize strain energy at critical points.
  • Developed a Python program to generate tire profiles parametrically in AutoCAD, reducing layout generation time by over 90%.
  • Conducted ABAQUS simulations to show a 12% improvement in wear life and a reduction in frictional energy loss in truck/bus radial tires.
  • Contributed to packaging the algorithm into a PyQT application with a co-intern.

IFB Industries Ltd.3M • May 2017 - July 2017

Design, Optimization & Simulations Intern
  • Achieved a cost reduction of ~5-7% by optimizing packaging parameters for top loader washing machines using Design of Experiments.
  • Reduced washing machine drain pump assembly costs by 20-25% through a redesign that combines two tasks into a single unit.

Detect Technologies3M • May 2016 - July 2016

Product Design Intern
  • Worked on the design of Guided Ultrasonic Monitoring of Pipe Systems (GUMPS)

Projects

  • All
  • Professional
  • Academic
  • Publications

Graph Modeling of Denied Segments for Congestion Detection

Amazon Robotics May 2023 - Present

Medical Concept Extraction and Relationship Classification from Patient Records

University of Pennsylvania January - May 2023

An Unsupervised Approach For Identifying Patient Trial Eligibility

University of Pennsylvania January - May 2023

Relation Detection to Identify Stroke Assertions from Clinical Notes

University of Pennsylvania February 2023

Stock Out/Risk Prediction for Inventory Optimization

ZS Associates May - July 2022

Patient Services - Impact Measurement & Investment Allocation

ZS Associates March - June 2022

Record Linking & Site Status Extraction

ZS Associates September 2021 - May 2022

Strategic Product Narrative

ZS Associates January - August 2021

Predicting Unplanned Hospital Readmissions using Patient Level Data

Independent Study January 2021

Duplicate Medical Studies Identification

ZS Associates September - December 2020

An Approach Integrating Artificial Intelligence & Virtual Reality

ZS Associates April - August 2020

Patient Event Prediction & Explanation

ZS Associates September 2019 - January 2020