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Resume

Last updated March 2026. ↓ Download PDF

In [1]:
ms.summary()

Information Science senior at UW-Madison (Data Science certificate, May 2026) with hands-on experience building end-to-end data pipelines, machine learning models, and interactive data visualizations. Skilled in Python, SQL, and Tableau with a track record of translating complex datasets into clear, actionable insights. Seeking full-time data analytics or analytics engineering roles in Chicago.

In [2]:
ms.education(verbose=True)
University of Wisconsin-Madison
B.S. Information Science, Certificate: Data Science Madison, WI
  • GPA: 3.15
  • Coursework: Applied Database Design, Artificial Intelligence, Data Storytelling/Visualization, Data Science Modeling
University of Illinois-Chicago
Information and Decision Sciences (transferred to UW-Madison), Finance Minor Chicago, IL
  • GPA: 3.89, Dean's List (4/4 Semesters)
In [3]:
ms.projects()
CTA Underutilized Routes Analysis
  • Built a Python ETL pipeline to pull and clean multi-year CTA ridership data via the Chicago Data Portal (Socrata API), identifying post-COVID recovery gaps across bus and rail routes.
  • Authored a data-driven policy brief recommending service reallocations and visualized route-level ridership trends in Tableau, communicating technical findings to a non-technical audience.
Policy Brief
Second Spin — Music Analytics and Recommendation Engine
  • Built a KNN/cosine similarity recommendation engine using Spotify audio features and Last.fm listening history enriched data, backed by a full ETL pipeline.
  • Designed and deployed a handcrafted HTML/CSS/JS frontend on GitHub Pages, including personal album reviews that add editorial depth alongside the ML component.
Live Site
Reinforcement Learning Agent (FrozenLake Environment)
  • Implemented Value Iteration and Q-Learning algorithms to compute optimal policies in a stochastic gridworld environment.
  • Trained and evaluated an agent across simulated episodes, achieving target reward thresholds and comparing convergence behavior between both methods.
In [4]:
ms.skills(fmt="grouped")
Languages Python, R, SQL, HTML/CSS, JavaScript
Libraries Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Flask
Tools Tableau, Jupyter Notebook, VS Code, Git/GitHub, Excel, Microsoft Access
Databases MySQL, SQLite, MongoDB
APIs Spotify Developer API, Last.fm API, Socrata/Chicago Data Portal
In [5]:
ms.experience()
Classic Cinemas
Crew Trainer Oswego, IL
  • Trained and onboarded new employees to meet company standards, improving team consistency and reducing ramp-up time for new hires.
  • Assisted guests including patrons with disabilities (hearing impaired), ensuring an inclusive and accommodating experience.
  • Conducted inventory counts and reconciled stock with system records to maintain accuracy and reduce discrepancies.
In [6]:
ms.involvement()
DOTData: Data Science Club, UW-Madison
  • Connected with peers and industry professionals to expand knowledge of data science tools and career pathways; attended workshops led by campus faculty and club leaders.
Information Systems Society, UW-Madison
  • Participated in discussions and events exploring the intersection of technology, data, and business strategy and decision-making.
Volunteering
  • Wood Dale Fire Department (Wood Dale, IL): Supported annual community food and toy drives, assisting with donation collection, organization, and distribution for local families.
  • PADS of DuPage at St. Thomas the Apostle (Naperville, IL): Assisted staff in providing meals and shelter services for members of the local homeless community.
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