Hi I'm

Rahul Shetty

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Rahul's Journey Summary

Listen to my professional journey and experiences in tech

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ABOUT ME

Data Scientist & AI Engineer

I am a passionate Data Scientist and AI Engineer with a Master's degree in Data Science from the University of Colorado, Boulder. I have a strong background in data analysis, machine learning, and full-stack development.

My expertise lies in building scalable data pipelines, creating insightful visualizations, and developing AI-driven solutions to solve real-world problems.

Technical Expertise

My Skills

Programming

Data Science & ML

Pandas
NumPy

Databases

Analytics

Cloud & DevOps

Mathematics

My Resume

Journey

January 2024 - Present

Data Support Student Assistant

National Snow and Ice Data Center (NSIDC), Boulder, United States

- Developed Python scripts for data extraction and analysis of NSIDC datasets.
- Created automated workflows for data processing and quality assurance.
- Collaborated with researchers to implement data visualization solutions.
- Documented technical processes and maintained knowledge base in Confluence.
- Managed project tasks and timelines using Trello for efficient team coordination.

June 2023 - December 2023

Graduate Research Assistant

Leeds School of Business, Boulder, United States

- Developed advanced web scraping solutions using Beautiful Soup and Selenium.
- Implemented automated data extraction pipelines for survey data analysis.
- Created data visualization dashboards using Python and Tableau.
- Collaborated with faculty on research projects in business analytics.
- Published findings in academic journals and presented at conferences.

June 2023 - November 2023

AI Engineering Intern

HappiNest.AI, Saint Petersburg, United States

- Led development of AI-powered marketing automation system using Perplexity API.
- Implemented NLP-driven sentiment analysis for content personalization.
- Designed and deployed scalable data pipelines using Azure Blob Storage.
- Developed frontend components using React, TypeScript, and Material-UI.
- Integrated multiple APIs including Ayrshare for social media automation.
- Achieved 50% reduction in manual effort and 40% improvement in engagement.

2023 - 2025

M.S in Data Science

University of Colorado, Boulder, United States

- Specializing in Machine Learning and Data Analytics.
- Research focus on AI applications and data visualization.
- Core coursework: Machine Learning, Deep Learning, Statistical Methods, Data Mining.
- Advanced topics: Natural Language Processing, Computer Vision, Big Data Analytics.
- GPA: 3.8/4.0

October 2022 - July 2023

Software Engineer

MoEngage, Bengaluru, India

- Led data analysis initiatives for web personalization, achieving 25% increase in user retention.
- Developed interactive dashboards using Power BI for real-time analytics.
- Implemented A/B testing frameworks for feature optimization.
- Created comprehensive technical documentation in Confluence.
- Collaborated with cross-functional teams to improve product features.

November 2020 - September 2022

Application Development Analyst

Accenture, Bengaluru, India

- Developed data validation microservices using SQL, Power Query, and DAX with RESTful APIs.
- Optimized Power BI performance through DAX calculations and query folding, reducing load times by 15%.
- Programmed automated test suites for Agile tools ensuring 99% data accuracy in reporting.
- Established API-driven data governance framework for cross-functional teams.
- Managed Agile development processes and sprint planning.

2016 - 2020

B.E in Telecommunication Engineering

Dayananda Sagar College of Engineering, Bangalore, India

- Specialized in signal processing, networking, and communication systems.
- Developed strong foundation in programming and engineering principles.
- Completed projects in IoT and embedded systems.
- Participated in technical workshops and hackathons.
- GPA: 3.5/4.0

MY PORTFOLIO

Featured Projects

Uber Data Analysis

SQL BigQuery REST API

Optimized SQL queries in Google BigQuery. Integrated AI backend using REST APIs & WebSockets for real-time data processing.

ReSumate

TypeScript React Node.js

Making networking easier. Yet to Launch !!!

Customer Lifetime Value Prediction

Machine Learning Python

Developed a predictive model for customer lifetime value, leveraging machine learning to analyze behavior, purchase history, and demographics, enabling targeted marketing and improved retention.

Coal Insights

Python Data Analysis Naive Bayes

Predictive modeling and analysis of carbon-intensive coal shipments. Analyzed environmental impacts, regional disparities, and economic considerations using machine learning. This project involved collecting and processing large datasets, developing predictive models, and creating data visualizations to communicate insights. The goal was to provide actionable recommendations for reducing carbon emissions and improving sustainability in the coal industry.

Get In Touch

Let's Connect!

I'm always open to exploring new opportunities, collaborations, and insightful discussions in AI Engineering, Data Science, and Software Engineering. Whether you have a project idea, a question, or just want to connect, feel free to reach out!