Education

University of Maryland, College Park

Master of Science in Applied Machine Learning

2025 - Present

University of Texas at Austin

Post Graduate Program in Artificial Intelligence and Machine Learning

2024 - 2025

GPA: 4.33/4.33

Indian Institute of Technology (IIT), Patna

Bachelor of Technology in Metallurgical and Materials Engineering

2020 - 2024

CPI: 7.85/10

Maharashtra State Board of Secondary and Higher Secondary Education, Pune

Grade 12: Higher Secondary Certificate (HSC)

2019 - 2020

Percentage: 88.77%

DAV Public School

Grade 10 - Central Board of Secondary Education

2017 - 2018

Percentage: 93%

About Me

I am Sahil Chaudhari, an AI and Machine Learning enthusiast driven by curiosity and a love for problem-solving. I see myself as someone who thrives at the intersection of data, algorithms, and real-world impact. My journey in AI has been shaped through self-learning, hands-on projects, and industry exposure, where I have explored everything from predictive modeling and deep learning to large language models and deployment pipelines.

This Fall, I will be starting my Master's in Applied Machine Learning at the University of Maryland, College Park — a step that not only reflects my passion for learning but also my goal of building AI solutions that are practical and human-centered. I value clarity, structured thinking, and continuous growth, and I am always looking for ways to connect ideas across disciplines and turn them into meaningful outcomes.

Outside of my academic and professional pursuits, I am an avid guitarist who enjoys watching anime and reading manga. I believe in the power of continuous learning and strive to connect with others who share a passion for technology and creativity. I am committed to making a meaningful impact through both my work and personal interests.

Experience

Data Analyst at Insight Fusion Analytics

from to

This internship strengthened my ability to translate complex datasets into actionable insights by combining geospatial analysis, automation, and machine learning. Along the way, I built a stronger problem-solving mindset, refined my data storytelling skills, and gained the confidence to apply AI-driven approaches to real-world challenges. These experiences spanned diverse domains, including stock market analysis, sports analytics, social media, and environmental studies.

Operational Analyst at Pinnacle Enterprises

from to

This internship gave me hands-on exposure to improving business operations through data-driven decision-making. I learned how to leverage dashboards and analytics to optimize inventory management, gaining insights into balancing cost efficiency with waste reduction. By working with customer satisfaction data such as Net Promoter Scores, I strengthened my ability to identify service gaps and translate feedback into actionable strategies for retention. I also deepened my understanding of financial health by monitoring accounts receivable trends, which enhanced my problem-solving skills in managing cash flow challenges. This experience sharpened my analytical thinking, business acumen, and ability to connect operational data with strategic outcomes.

Data Analyst at Tailor and Circus

from to

During this internship, I learned how to analyze customer behavior more deeply, from tracking retention patterns to understanding what drives repeat purchases. I strengthened my ability to work with financial metrics like CLTV and transaction value, which taught me how to identify high-value customer segments. Exploring regional and product performance gave me perspective on how data can guide market-specific strategies, while working on customer segmentation and discount analysis helped me appreciate the nuances of consumer decision-making. Overall, the experience sharpened my analytical mindset and gave me confidence in connecting data insights to real business growth.

Projects

A selection of my range of projects

Octant Analysis - Single File Input

This project analyzes octants from the input data. It processes a single file input and visualizes the analysis through a web app.

Octant Batch Processing - Folder Input
An advanced version of Octant Analysis that processes multiple files by uploading a folder location.

View Web App View GitHub (Single Input) View GitHub (Batch Processing)
Bitcoin
Bitcoin Time Series Forecasting

(Team Project) Time series forecasting using machine learning and financial indicators like VWAP, EMA, and SMA. The ARIMA model was used for predicting future Bitcoin prices.

Slides View GitHub Repo
IPL Scorecard Dashboard
IPL Scorecard Dashboard

A detailed breakdown of my Power BI project, which includes the analysis of cricket scorecards, IPL team performance, and bowler profiles. This project features data extracted through web scraping to gather real-time scorecard information, enabling comprehensive visualizations and insights into match performance and statistics.

View GitHub Repo
Transcript
Transcript Generator

A Python-based project developed as part of a course at IIT Patna, designed to automate the generation of student transcripts. The program processes multiple CSV files containing student information, course details, and grades, and then generates individualized transcripts in PDF format. This project efficiently handles batch processing of large student datasets and ensures accurate document generation.

View GitHub Repo