Yash Gupta

Bachelor of Technology

2015 - 2019

National Institute of Technology, Kurukshetra, HR

Major: Electrical Engineering

GPA: 8.45/10

• Department Placement Coordinator
• Editor-in-Chief | Alumni Association

Class XII

2014 - 2015

St. Dominics School, Mathura, UP

AISSCE: 94.2%

• Inter-school district quiz champion.
• Elected I^st student council secretary.

Class X

2013 - 2014

St. Dominics School, Mathura, UP

AISSE:CGPA: 10/10

• Received AMUL Vidyashri Scholarship.
• Certificate of Merit by CBSE.

Engineering Intern

May 2018 - July 2018

POWER SYSTEM OPERATION CORPORATION LIMITED, DL

Power System Modelling Lab

• Designed a High Voltage DC transmission line (TL) for a major zone.
• Undertook load flow and fault tolerance studies for capacity planning.
• Developed static and dynamic models of TL in different configurations via detailed mathematical analysis
• IMPACT: The proposed TL was moved into consideration for higher authorities for actual implementation.

Summer Research Intern

Jun 2017 - Jul 2017

Indian Institute of Science, Bengaluru, KN

Tomography Lab | Dept. of Physics

• Worked on a SOTA breast cancer diffused optical tomography setup.
• Programmed a parallelized software version of a Lock-in Amplifier.
• Implemented hardware parallelization to process signals on a 24-channel input.
• IMPACT: The prototype reduced diagnosis test time by 4x.

Data Scientist

Dec 2021- Present

Shiprocket

• Created a ML pipeline to map RTO risk associated with COD shipments → ₹2MM/month in RR.
• Developed processing pipelines to condition highly unstructured user address data → +23% deliveries.
• Built Forecasting models for seller inventory planning → core component of fulfilment business.
• Built fraud detection models for early weight and shipment fraud identification → -12% case count for LOPS.
• Worked on Geo-Spatial data to derive business growth in Hyperlocal delivery.
Accomplished all above projects while building a core python framework that serves as backbone for other analytics based processes. Incorporated best practices for logging, maintaining data and model artifacts, standardizing redundant functions and code flows.

Analyst - Data Science

June 2021- Nov 2021

Whitehat Jr.

• Developed propensity models on customer renewal behaviour → 18% increased retention.
• Created segmentation process to enhance student-teacher mappings → 8.7% increase conversions.
• Define new and monitor existing KPI metrics using self designed automated dashboards

Consultant

Mar 2020 - June 2021

Inductis | EXL Services

• Designed, Developed and Deployed entirely new ML based analytical stack in production in concurrence with MLOps principles consisting of:
• 12 predictive models to identify prospects with high business potential for prime LoBs (Regression, Decision Trees)
• A single window process to select prospective customers in line with key business parameters and regulations.
• An exhaustive Offer Selection process resulting in improved performance across campaigns worth $3MM.
• Connected the MIS reports to dashboards for monitoring by CxO leadership.

Business Analyst

Jun 2019 - Feb 2020

Inductis | EXL Services

• Optimised SAS-based predictive models in Python via detailed code flow analysis and identifying bottlenecks.
• Redeveloped existing work flows to increase throughput and reduce latency.
• Managed predictive models and data pipelines for Asset Owners for smooth workflows.