Welcome, my name is
Ishan Sheth.
Hi! I'm Ishan Sheth. I am a third-year student at Georgia Tech pursuing a B.S. in Computer Science with a minor in Economics. With specializations in Artificial Intelligence and Modeling and Simulation, I am particularly curious about algorithms, language processing, and financial technology.
In my free time, I love to DJ, cook new foods, and play pickup basketball.
Building an AI-based tool to automate medical documentation for medical practices and reclaim lost insurance reimbursements based on new guidelines. Building product (frontend, backend, ML) from the ground up while managing sales, pilots, and development team. Check out our website!
January 2024 - Present
Forecasted transaction volumes for 120 consumer facing teams using Python and Facebook Prophet, providing additional documentation for eventual production deployment. Developed rules for hyperparameter tuning for each model based on advanced statistical testing and trends in data, improving model runtime by 300% and accuracy by 10%.
June 2024 - August 2024
Currently working as a full-stack software engineering intern at Ditch, an Atlanta based startup. Working on revamping app screens using Figma and Flutter on the front end, and optimizing backend functions with Python and SQL. I am working with Google Cloud, PostgreSQL, and Flutter.
January 2024 - May 2024
After completing a semester-long investments course, I am developing investment strategies utilizing quantitative models, contributing to the growth of a $2.1M AUM student-run endowment fund. I am utilizing Bloomberg Terminal, Excel, and Python to implement a VC2-based algorithm, managing assets valued at over $20,000.
April 2023 - Present
I spent the semester researching repurposed drugs for patients with Eosinophilic esophagitis under Dr. Jeffrey Skolnick. I conducted an analysis of the Th2 and epithelial barrier dysfunction pathways and researched repurposed drug options such as monoclonal antibodies and molecules alpha-L-fucose and beta-D-glucose.
Dec 2022 - May 2023
I built a production-ready tool for Splitit's sales team using Python and Jenkins to analyze hundreds of e-commerce sites. I also developed an ML model using Scikit Learn, Snowflake, and Salesforce to predict client acquisition with 85% accuracy, leading to a revamped strategy in the sales team's lead targeting.
Jun 2022 - Aug 2022
2019: I developed a Python program to automatically read pharmaceutical labels for an automated drug delivery robot prototype.
2020: I built a Python program for MiRus’ GALILEO system to analyze MRI data and render 3D vertebrae images, allowing surgeons globally to diagnose spinal conditions.
2021: I co-authored a manuscript that evaluates the hydrophilicity and bacterial growth of the MoRe alloy for spinal implants, comparing it to industry standards.
Jun 2019 - Jul 2021
Years: 2022-2025
GPA: 3.80/4
Major: Computer Science
Concentrations: Artificial Intelligence and Modeling & Simulation
Minor: Economics
Activities: Delta Chi Fraternity, Georgia Tech Student Ambassadors, Intramural Basketball
Years: 2018-2022
Activities: START Atlanta, Cross Country, FRC 2415 WiredCats, Wind Ensemble, Jazz Band, Discipline Council
Live conversation transcriptions and dashboards using Snapchat Spectacles AR and Natural Language Processing.
Real-time credit-card fraud detection dashboard for brick and mortar merchants using React and machine learning.
Utilized Cohere LLM and Twilio API's for a daily text update with news and markets info. Automated with AWS Lambda.
Web application that predicts the outcome of NBA games based on a homemmade rolling 7-game average dataset.
Ironic....Used HTML, CSS, and JavaScript to build this website. For more info, check out the Github using the button below.
