Anirudha
Ugile.

Sophomore at UW–Madison studying Data Science and Information Science, building toward a career in data analytics and data science. Currently gaining hands-on systems experience across two concurrent IT roles serving 60,000+ users — while actively developing my Python, SQL, and visualization stack through coursework, projects, and independent study.

View My Work Download Resume ↓
Anirudha Ugile
Location Madison, Wisconsin
School UW–Madison, Class of 2028
Studying Data Science + Information Science
Minor in Computer Science
Work Systems Engineer
IT Operations Analyst
Now
Building
Termly — Semester Load Forecaster
AI-powered syllabus parser that stress-maps your semester before it starts. Active development.
Analytics Dashboard — IT Incident Trends
Building a Python + Plotly dashboard to visualize incident volume patterns and resolution metrics from my DoIT work. Turning operational data into something actionable.
Data Structures & Algorithms Deep Dive
Systematically working through trees, graphs, and dynamic programming in Python — building problem-solving fluency for technical interviews.
Learning
Python — Advanced Patterns
OOP, decorators, generators, and data pipeline design beyond the basics.
SQL & Data Modeling
Complex joins, window functions, schema normalization, and query optimization.
Tableau & Data Visualization
Advanced dashboard design, calculated fields, LOD expressions, and storytelling with data.
Gephi & Network Analysis
Graph layouts, centrality metrics, and visualizing complex relational datasets.
Excel — Power Features
Power Query, pivot tables, dynamic arrays, and spreadsheet-based analytical modeling.
About

I'm a sophomore at UW–Madison studying Data Science and Information Science, focused on building a strong technical foundation across data analytics, systems, and software.

I find the same satisfaction in debugging a broken authentication workflow as I do in cleaning a messy dataset — both are about making complex things work cleanly and reliably. That overlap between data and systems is where I operate best.

Outside of work and school: I've led national-level dance teams, served in student governance, love travelling, and think seriously about how technology shapes the world around us. Those experiences inform how I approach problems — with people in mind, not just the data.

60,000+
Users served daily across UW–Madison's IT infrastructure
50+
Weekly enterprise access incidents resolved at DoIT
300+
Devices managed per semester across library endpoints
3.625
GPA — Spring 2025 Dean's List after a full academic rebuild
Experience
Jan 2026 — Present
Current
Systems Engineer
Division of Information Technology (DoIT), UW-Madison
  • Triaged and resolved 50+ weekly IAM incidents across NetID/SSO, Duo MFA, Microsoft 365, Canvas, and Zoom — restoring secure access for 60,000+ campus users while maintaining compliance within a high-trust enterprise ITSM environment
  • Identified 15+ recurring failure patterns weekly — MFA reactivation errors, token conflicts, certificate issues — and built structured resolution paths in Cherwell so the same problems stop generating repeat tickets
  • Handled 30–60 live requests per shift via Cisco Finesse, executing rapid triage and account recovery workflows under time pressure with full audit documentation on every case
  • Converted high-frequency incident signatures into reusable Cherwell knowledge base entries — cutting investigation time for common failure classes and improving consistency across the support team
Jan 2026 — Present
Current
IT Service Operations Analyst
Library Technology Group (LTG), UW-Madison
  • Owned incident operations across 7+ UW library locations — triaging and closing 25+ weekly endpoint, network, and hardware failures through Redmine-tracked workflows to keep high-traffic student and staff environments running
  • Imaged, configured, and validated 30+ Dell and Apple devices per month — covering staff workstations, public terminals, and circulation laptops so device availability stays consistent across all library branches
  • Used Lansweeper and Bomgar to maintain visibility and remote diagnostic access across 300+ devices per semester — surfacing issues before they escalate and improving resolution speed through accurate asset-level root-cause notes
  • Tracked incident volume trends to identify recurring failure categories and workflow bottlenecks — translating those patterns into SLA adjustments and resolution templates that reduce time-to-close on repeat issues
May 2025 — Jan 2026
IT Operations Level 2
Library Technology Group (LTG), UW-Madison
  • Handled endpoint operations and incident resolution across UW library spaces — responsible for restoring service availability for staff workstations, public computing devices, and classroom environments
  • Performed hands-on device imaging and reimaging for Dell and Apple endpoints, including workstation deployment, configuration, and field troubleshooting
  • Resolved printing infrastructure and network connectivity failures across multiple library branches, minimizing downtime during peak usage hours
  • Maintained clean, structured incident documentation in Redmine to support accurate shift handoffs and faster diagnosis of repeat issues
Nov 2024 — May 2025
IT Operations Level 1
Library Technology Group (LTG), UW-Madison
  • Served as first point of contact for technology issues across library locations — handling access problems, printing failures, and workstation disruptions in a high-volume environment
  • Developed strong triage instincts and documentation habits early: learned to quickly categorize issues by impact, route appropriately, and close tickets with enough detail for the next person
  • Consistency and reliability in this role directly led to promotion to Level 2 within six months
Jan 2025 — Sep 2025
Engineering Early Talent Fellow
Goldman Sachs
  • Competitively selected for Goldman Sachs Engineering Possibilities — completed 5+ technical modules across problem formulation, system design, and analytical reasoning, delivering 2+ presentations within strict time constraints
  • Worked in a 5-person team on data engineering exercises — explored and analyzed datasets in Python, then translated findings into structured technical summaries presented to program stakeholders
  • Iterated through 10+ interview-style technical problems under a structured feedback loop — sharpening both reasoning precision and the ability to communicate solutions clearly under pressure
Oct 2025 — Jan 2026
Associate Justice — Student Judiciary
Associated Students of Madison (ASM)
  • Appointed Associate Justice within UW–Madison's student governance judiciary — evaluated organization disputes and policy cases affecting 60,000+ students using structured procedural frameworks and evidence-based review standards
  • Produced written rulings for 100% of assigned cases — documenting reasoning, precedent alignment, and final determinations so that outcomes were consistent, auditable, and defensible across high-sensitivity governance cases
  • Applied fact-finding and policy interpretation methodologies to multi-stakeholder disputes — resulting in reduced ambiguity in outcomes and improved trust in student governance processes
Sep 2024 — May 2025
Program Operations Coordinator
Transcend UW
  • Coordinated end-to-end logistics for student programs and events — managing schedules, resources, vendor coordination, and day-of execution across multiple concurrent initiatives
  • Built strong habits in real-time problem solving: when things went sideways during events, owned the fix on the spot rather than escalating
  • Strengthened communication and team coordination skills that directly translate to technical team environments and cross-functional project work
Projects
Active
2025 – present
Termly — Semester Load Forecasting Tool

AI-powered academic planning tool that helps students visualize their semester workload before it overwhelms them. Upload syllabi, connect Canvas, and Termly extracts every deadline, weights it by grade impact, and renders a color-coded stress heatmap — surfacing crunch weeks, flagging conflicts, and generating prep recommendations weeks in advance.

PythonStreamlitClaude APIpdfplumberPlotlyPandasSQLiteGit
View on GitHub →
Completed
2025
Tech Workforce Dynamics (2000–2025)

A data analytics project examining employment trends in the tech sector over 25 years. Explores hiring cycles, layoffs, macroeconomic influences, and workforce shifts — built as a full pipeline from raw data through statistical analysis to interactive Tableau dashboards.

PythonRSQLTableau
View on GitHub →
Prototype
2025
SeatSense UW

A prototype campus tool to help students find available seating in UW–Madison's College Library. Visualizes occupancy patterns across study zones (Z1–Z5) using interactive floor-plan overlays and heatmaps.

PythonStreamlitPlotly
View on GitHub →
Completed
2025
Coffee Machine Simulator

A Java command-line program that simulates a fully functional coffee machine — handling multiple drink types, ingredient tracking, refill management, and state transitions. Built to develop rigorous OOP fundamentals: modular design, state management, and clean I/O handling.

JavaOOPCLI
View on GitHub →
Skills
Languages
Python
R
SQL
Java
Data & Analytics
Tableau
Pandas / NumPy
Plotly / Matplotlib
Statistical Modeling
Data Cleaning & Prep
Tools & Platforms
Git / GitHub
Streamlit
RStudio
Gephi
Redmine / Jira / ITSM
Cherwell ITSM
IT & Systems
Identity & Access Management
Incident Triage
SSO / MFA / Active Directory
Endpoint Imaging & Deployment
Root Cause Analysis
Concepts
Analytics Pipeline Design
OOP & Software Design
AI / LLM Integration
Data Visualization
Working Style
Technical Documentation
Cross-team Communication
Escalation & Prioritization
Problem Decomposition
Education
2024 – 2028
University of Wisconsin–Madison
B.S. Data Science & B.S. Information Science · Minor in Computer Science
🏆 Dean's List — Spring 2025
Relevant Coursework
CS 320
Data Science Programming II
Python-focused data science workflows — built reproducible analysis pipelines using Pandas and NumPy, applied Git branching strategies for version control, and wrote automated test suites to validate data transformations on real-world datasets.
STAT 240
Data Science Modeling I
Statistical foundations for data science using R — built regression and inference models, produced reproducible R Markdown reports, and applied tidyverse and ggplot2 to clean, wrangle, and visualize real datasets for analysis-ready outputs.
LIS 407
Data Storytelling with Visualization
Designed data visualizations using Tableau and Python (Matplotlib / Plotly) — translated raw datasets into audience-ready narratives, applying color theory, chart selection principles, and storytelling frameworks to communicate findings with clarity and accuracy.
LIS 440
Navigating the Data Revolution
Applied data ecosystem concepts through hands-on work in Excel, Python, and Pandas — performed exploratory data analysis, examined data governance frameworks, and evaluated real-world case studies on the ethical and societal implications of large-scale data collection and AI systems.
LIS 340
Intro to Information Science
Examined how information is organized, indexed, and retrieved at scale — analyzed metadata standards, classification systems, and IR models, applying concepts to evaluate real information architectures used in libraries, search engines, and digital platforms.
LIS 351 ✓
Introduction to Digital Information
Built hands-on fluency with SQL for querying and managing structured digital data — worked with metadata schemas, explored digital library infrastructure, and applied database design principles to organize and retrieve information across real digital collections.
CS 400 ✓
Programming III
Implemented advanced data structures and algorithms in Java — built graph traversal engines, custom hash tables, and self-balancing trees from scratch, analyzing time/space complexity and optimizing for correctness and performance on large inputs.
CS 300
Programming II
Developed core OOP fluency in Java — implemented recursive algorithms, built linked lists and binary trees from scratch, and applied inheritance and polymorphism to design modular, reusable program architectures.
MATH 340
Elementary Matrix & Linear Algebra
Worked through matrix factorization, eigenvalue decomposition, and linear transformations by hand and computationally — building the mathematical intuition behind PCA, dimensionality reduction, and the linear algebra powering modern ML models.
AAE 350
Agricultural & Applied Economics
Applied quantitative modeling to real-world economic datasets — built regression and cost-benefit models, interpreted econometric outputs, and developed data-driven decision frameworks for policy and resource allocation problems.
MATH 221
Calculus & Analytic Geometry I
Established calculus foundations essential for data science — mastered limits, derivatives, and integrals with applications to optimization and rate-of-change problems that underpin gradient descent and model training in machine learning.
MATH 222
Calculus & Analytic Geometry II
Extended calculus into integration techniques, infinite series, and Taylor approximations — directly applicable to probabilistic modeling, numerical methods, and the mathematical machinery behind neural networks and optimization algorithms.
Contact
Let's
talk.

Always happy to connect — whether it's about a project, a shared interest, or just to say hi.

Email
→
University Email
→
LinkedIn
linkedin.com/in/ugile
→
GitHub
github.com/anirudhaugile
→