Professional Experience

Building data-driven solutions across industries

Professional Experience

Data Scientist

University of Rochester • Rochester, NY

Aug 2024 - Present
  • Built research analytics platform processing 800GB+ data using BigQuery, Python, and SQL for data-driven hiring and impact assessments
  • Integrated Large Language Models (LLMs) into data pipelines, improving data preparation efficiency by 30%
  • Configured dbt for data transformation, documentation, and MLOps workflows using modern data engineering practices
  • Developed interactive dashboards with Dash and Tableau, increasing research focus and media coverage by 20%
  • Applied Generative AI and prompt engineering for automated code generation and data workflow optimization

Credit Risk Management (Data Science) Intern

T-Mobile, USA • Overland Park, KS

May 2023 - Aug 2023
  • Engineered an automated Risk Strategy Simulation Tool, boosting team productivity by 40% using Python/Pandas
  • Conducted in-depth analysis of a 35% policy deviation using Snowflake, Databricks, and Pandas
  • Built RCA-inclusive alerts to detect policy deviations, reducing investigation time by 75%
  • Migrated critical analysis pipeline from SAS to Python

Data Scientist

RedCarpetUp.com (YC S15) • New Delhi, India

Apr 2019 - Jan 2021
  • Led cross-functional teams of analysts and software engineers achieving 40% month-over-month credit disbursal growth
  • Mentored junior analysts and interns, establishing machine learning best practices and data science workflows
  • Owned end-to-end product development for credit risk assessment platform serving 500,000+ users
  • Implemented XGBoost-based credit risk models with A/B testing across 4,000+ customers using statistical modeling
  • Conducted exploratory data analysis on 5TB customer data, identifying ₹5.2M revenue opportunities using PostgreSQL, Pandas
  • Architected automated reporting systems using Looker and Airflow, boosting data analysis efficiency by 65%

Software Engineer

RedCarpetUp.com (YC S15) • New Delhi, India

Oct 2017 - Mar 2019
  • Built a CRM system for 500,000+ users with Flask and PostgreSQL, streamlining data management and analytics
  • Set-up and managed card upgrade process for 100,000 monthly active users, ensuring regulatory compliance

Full Stack Developer Intern

Foodpost • Gurugram, India

Jan 2016 - Mar 2016
  • Developed RESTful APIs and performed database operations using PHP (Codeigniter framework) and SQL
  • Upgraded front-end (HTML5, CSS3, Bootstrap) and conducted load tests on system components using jMeter

Education

Master of Science - Data Science

Rochester Institute of Technology

Aug 2022 - May 2024
  • CGPA: 3.87/4.0
  • Relevant Coursework: Machine Learning, Statistical Analysis, Big Data Analytics, Database Systems

Bachelor of Engineering - Computer Science

Visvesvaraya Technological University

Aug 2012 - May 2017
  • Relevant Coursework: Data Structures, Algorithms, Database Management, Software Engineering

Technical Skills

Programming & AI

Python SQL R C++ Large Language Models (LLMs) Generative AI Machine Learning Deep Learning Natural Language Processing Computer Vision

ML/AI Frameworks

TensorFlow PyTorch Scikit-learn XGBoost Transformers MLOps Model Deployment A/B Testing Statistical Modeling Feature Engineering

Cloud & Big Data

AWS (SageMaker, S3, Lambda) Google Cloud Platform (GCP) BigQuery Snowflake Databricks Apache Spark Real-time Analytics

Data Engineering & Tools

dbt Apache Airflow Docker PostgreSQL Tableau Looker Pandas NumPy Git Linux ETL/ELT Data Pipelines Business Intelligence

Key Projects

Expansive Insights: Analyzing Developer ChatGPT Interactions

Capstone project analyzing 107,000 developer interactions with ChatGPT to understand GenAI's impact on developer productivity.

Python Data Analysis NLP Statistical Analysis
  • Processed 107,000 developer interactions, ensuring data integrity with advanced filtering and deduplication
  • Identified 16 single-turn and 8 multi-turn interaction types, illuminating GenAI's developer productivity impact

Mini-GPT: Simplistic Transformers Implementation

Built and evaluated a Transformer-based language model from scratch for text generation using the Tiny Shakespeare dataset.

PyTorch Transformers Deep Learning NLP
  • Implemented attention mechanisms and transformer architecture from first principles
  • Trained model on Shakespeare text corpus for character-level text generation

Publications

Peer-to-peer Knowledge Sharing Platform for farmers with auto-recommendation feature

IEEE SmartTechCon 2017

2017

Ready to Collaborate?

Let's discuss how my experience in data science and analytics can contribute to your team's success.

Get In Touch View Projects