Hi, I'm Utkarsha Patil
Data Analyst
I am a data analyst who gets most interested when the data is connected to something real. When a shooting happened at my university, I wanted to understand the patterns behind it, so I sourced government data, analysed 181,000 records, and built predictive models on my own time. That same instinct carries into everything I do professionally. Over the past five years I have worked across banking at Capgemini, healthcare at a US startup, and education research at the University of Arizona, where I completed my Master's in Data Science in 2025. Across all of it, what I enjoy most is the last mile: taking something complex and making it clear enough that a CEO, a medical director, or a non-technical stakeholder can look at it and immediately know what to do. Data that never reaches the right person in the right language is just noise.
Education
- Coursework:
- Data Mining
- Data Visualization
- Machine Learning
- Applied Natural Language Processing (NLP)
- Computational Social Science
- Database Management
- SQL/NoSQL Databases for Data and Information Sciences
- Foundations of Data Science
- Data Ethics.
- Activities and societies:
- ASTEC, WISE, Arizona Student Unions
- Key Highlights:
- AI Application Developer, ASTEC – Developed AI-driven solutions for healthcare applications, patient simulation, and improved patient form building.
- Worked with real-world datasets to identify trends, patterns, and outliers.
- Interned at The Force for Health Network, worked on healthcare applications.
- Collaborated on projects involving predictive modeling and text processing techniques.
- Gained hands-on experience with Python, SQL, and data analytics tools like Tableau.
- WISE Mentorship Program participant.
- Coursework:
- Data Structures & Algorithms
- Database Management Systems
- Data Mining
- Data Analytics
- Activities and societies:
- NSS (National Service Scheme)
- ISTE (Indian Society for Technical Education)
- Key Highlights:
- Worked on YouTube Video Analysis & Recommendation System, implementing sentiment analysis and improving recommendation relevance.
- Published a research paper on the project in IJRAR.
- Led technical event organization for the Computer Science department.
- Volunteered for NSS, contributing to community service initiatives.
Skills
Python
SQL
Machine Learning
Data Visualization
Statistics
Data Analysis
A/B Testing
Predictive Modeling
Pandas
NumPy
Scikit-learn
Jupyter Notebooks
Git
Databricks
Excel
Tableau
Power BI
Problem Solving
JIRA
Articulate
PowerPoint