Resume
MS in MIS candidate at UIC · Data Engineer · AWS Certified · Open to full-time opportunities
Summary
Hrithik Dasharatha Angadi
Graduate student in Management Information Systems at UIC, specializing in data engineering, machine learning, and cloud architecture. Brings 2 years of industry experience building production software at Plansource, with strong command of Python, SQL, and AWS. Adept at translating complex data problems into scalable, measurable solutions.
Education
Master of Science — Management Information Systems
2024 – 2026
University of Illinois Chicago (UIC)
Relevant Coursework: Data Mining for Business, Machine Learning & Statistical Methods, Business Data Visualization, Deep Learning & Modern Applications, ML Lifecycle & Deployment.
Bachelor of Engineering — Electronics & Communication
2018 – 2022
Dayananda Sagar University
Certifications
AWS Certified Cloud Practitioner
Amazon Web Services
Foundational certification covering AWS core services, security, architecture, and pricing models.
Professional Experience
Data Analyst — Graduate Hourly
August 2024 – Present
University of Illinois Chicago — Online Programs Team
Working inside a university means the data questions are real but the resources aren't unlimited — which turns out to be great training. Built and deployed ML models to understand enrollment patterns and retention risk, then stuck around to make sure they actually kept working. Set up monitoring frameworks so trends didn't sneak up on anyone, and got comfortable explaining what the numbers meant to people who didn't care about the model — they cared about the outcome. That gap between "analysis done" and "decision made" is where most of the work actually lives, and I've gotten good at bridging it.
Associate Software Developer
August 2022 – August 2024
Plansource — Benefits Administration Platform
Spent 2 years at a company where data actually mattered — benefits administration means every number has a person behind it. Got deep experience working with large, structured datasets, building pipelines that had to be reliable, and translating messy real-world data into something systems could actually use. Collaborated closely with PMs and analysts to understand what the data needed to say, then went and made it say that. Left with a solid instinct for when data is trustworthy, when it isn't, and what to do about it.
Technical Skills
Languages & Frameworks
Python · SQL · R · JavaScript · C++
ML & Data Tools
scikit-learn · XGBoost · TensorFlow · Pandas · NumPy · Apache Spark · Tableau · Power BI
Cloud & Infrastructure
AWS (S3, EC2, Lambda, Glue, RDS) · Docker · Git · CI/CD