Kyle Coletta
Former Tech Consultant | Current Grad Student | Aspiring Data Scientist
About Me
Welcome to my personal website! I'm a passionate learner with an eagerness to develop new skills and build new tools. This site is a deeper dive into my life. Here you can find the stories, challenges, and lessons that have shaped my career and personal growth.
Feel free to explore the tabs above, or chat with my AI assistant on the right to learn more about me!
Academic Journey
Master of Science in Data Science
Columbia University | 2025 - 2026(Expected)
As a current student at Columbia, I am furthering my understanding of a variety of core data science methods and applications with a variety of algorithms, data analysis, machine learning, and statistics courses.
Bachelor of Science in Computer Science
University of Michigan | 2016 - 2020
During my studies at Michigan, I built the foundation of my technical skills, getting experience in both applied C++ development in practical projects, as well as learning more theoretical concepts that drive modern development.
If you want to learn more about my experiences at either university, you can ask ColettaBot for more details!
Professional Experience
Princeton Consultants
Senior Associate II | 2021 - 2025
After grduation from Michigan, I began as an Associate at Princeton Consultants, a boutique technology consulting company that worked largely in the transportation industry on optimization, modernization, and application-building projects. As a business analyst on a large-scale modernization project, my role began with a narrow scope of working with the client product owner to define user stories and create wireframed prototypes of web application functionality. As I gained more experience, my role expanded and I took ownership of a long-term, high-budget project, managing a team of 10+ developers and QAs and leading regular R&D sessions with the client, as well as frequent presentations on project status.
Technologies/Skills: SQL, COBOL, Project Management, Jira, Product Design
Achievements:
- Led multi-year, multi-million dollar project for Fortune 500 client
- Defined and documented project-wide best practices in wireframing design, QA testing process, and User Acceptance Testing
- Structured and coordinated multiple major implementation plans and go-live scenarios
DISH Network
QA and Test Automation Intern | Summer 2019
During the summer between my Junior and Senior year of undergrad, I spent 10 weeks as a QA and Test Automation Intern at DISH Network, familiarizing myself with their existing suite of test cases for various hardware developed and installed by DISH, then creating an automation in Python to trigger batch jobs, log the results, and feed them to a frontend visualization component to improve the ease-of-interpretation for a wide variety of tests, and decrease turnaround time for product improvement.
Technologies/Skills: Python, SQL, R, Data Visualization
Achievements:
- Developed Python script from scratch to trigger and log batch testing jobs
- Implemented connection to frontend visualization hub
- Presented process improvements and key findings to leadership
United States Securities and Exchange Commission
Business Intern | Summer 2018
After my sophomore year of undergrad, I got my introduction to using the technical skills I had learned at school in a real-life setting, working as a Business Intern at the SEC. Here, I took ownership of an effort to train and deploy an SVM model that identified suspicious transactions for insider trading. Using a combination of R and Python, I developed a tool to both highlight potential insider traders AND give an explanation for the model's reasoning behind flagging dubious transactions with LIME. Furthermore, I assisted on multiple other projects led by fellow interns.
Technologies/Skills: R, SQL, Machine Learning
Achievements:
- Created and deployed model that indentified suspicious traders and provided the key characteristic that determined why a trade was flagged
- Assisted in RegEx cleaning of large-scale dataset to help in differentiating between residential and corporation addresses
- Contributed to development of algorithm linking high-profile traders together and determining a proximity score
Recent Projects
Aura Therapy Chatbot
JavaScript • Render • Python • TinyLlama • HuggingFace
Fine-tuned AI model providing free mental health support through conversational therapy.
NFL Big Data Bowl Analysis
R • Python • Pandas • Data Visualization • Jupyter
Comprehensive analysis of NFL tracking data discovering trends and metrics using advanced analytics.
LLM Prompt Improver
AWS Trainium • JavaScript • Google Chrome • TinyLlama • HuggingFace • ML
Hackathon-winning Chrome extension that analyzes and suggests improvements for LLM prompts in real-time.
Personal Interests & Hobbies
When I'm not in class, you'll find me pursuing these passions:
Passion Projects
I've recently been exploring my enjoyment of building out new projects and bringing my ideas to life. This includes participating in Hackathons or Kaggle competitions, building this site, and more to come!
Reading
I'm an avid reader of Fantasy and Sci-Fi books. Some favorite series' include Tolkien's The Lord of the Rings, George R.R. Martin's A Song of Ice and Fire saga, and Brandon Sanderson's Mistborn trilogy. I also enjoyed Andy Weir's "The Martian" and "Project Hail Mary". Recently, I've been digging into more classic literature, making my way through Steinbeck's "The Grapes of Wrath" and "Stoner", by John Williams.
Playing Tennis
I played tennis all throughout high school, as well as recreationally in college. In early 2025, I played in the Low Desert Open -- a casual, self-registered tourney in Borrego Springs, California.
Watching Sports
I'm a longtime fan of all major Detroit Sports teams, as well as University of Michigan teams. Go Blue!
Travel
I always love visiting new places and experiencing new cultures. Most recently, I took a 2 week solo trip to Portugal during the summer of 2025, visiting Lisbon, Porto, and the Azores Islands.
Gaming
On calmer nights, I enjoy catching up with friends over discord, playing games together from chess to, FPS games, to MMORPGs.