Hi, my name is

Arnav Senthil.

I turn data into insight.

I am a student at the University of Michigan studying Information Analysis. I specialize in building data pipelines, crafting interactive dashboards, and applying machine learning to solve real-world problems.

Explore my work

01.About Me

I am a driven data professional currently pursuing a BS in Information Analysis at the University of Michigan, Ann Arbor with a 4.0 GPA. My passion lies at the intersection of data analytics, engineering, and visualization -- transforming raw data into actionable business intelligence.

From analyzing user acquisition funnels at a NYC startup to building AI models that detect bone fractures with 99% accuracy, I thrive on using data to solve complex, real-world problems. I have hands-on experience across the full data lifecycle: querying and cleaning datasets, building dashboards, running A/B tests, and training machine learning models.

Here are a few technologies I have been working with recently:

>Python
>SQL / MySQL
>Tableau
>Jupyter
>TensorFlow
>NetworkX
>Java
>Unity / C#
>Git

University of Michigan

BS Information Analysis -- April 2027

Minor in Data Science

Ann Arbor, MI

arnavsen@umich.edu

(510) 386-4455

4.0

Cumulative GPA

Relevant Coursework

>Intro User Modeling (SI 425)
>SQL & Databases (SI 364)
>Human Computer Interaction (SI 347)
>Data Manipulation (SI 345)
>Models of Social Info Processing (SI 315)
>Information Analysis (SI 305)
>Data Oriented Programming (SI 201)
>Intro to Data Science (DATSCI 101)
>Python Programming (SI 101)

02.Projects

Velvet Room - AI-Assisted Game

Built a fully functional multiplayer poker game entirely through prompt engineering using Claude Code, OpenAI Codex, and Emergent AI. Features include real-time gameplay against AI bots, Texas Hold'em rules engine, chip management, betting rounds (preflop, flop, turn, river), and a retro pixel-art UI. Demonstrates advanced AI-assisted development workflows where complex game logic, state management, and UI were generated through iterative prompting rather than traditional coding.

Claude Code
Codex
Emergent AI
Prompt Engineering
JavaScript

Broken Bone AI Model

Built and trained a convolutional neural network using TensorFlow to detect bone fractures from X-ray images, achieving 99% validation accuracy across 30,000+ labeled images. Preprocessed and augmented large-scale medical imaging data to improve generalization and reduce overfitting. Collaborated with Archie Tram, PhD student, at Ohio State University.

Python
TensorFlow
CNNs
Medical Imaging

Flee from Faculty 2D Pixel Game

Developed a 2D pixel-art platform game in Unity using C#, implementing player movement, collision handling, and enemy AI behaviors using Unity physics and scripting systems. Built and managed levels using Unity Tilemaps for efficient environment design and modular level iteration.

Unity
C#
Game Dev
Git

Lakers Top 5 Shot Plot Visualization

Built an interactive 3D data visualization in Unity that maps the most frequent shot locations for the Los Angeles Lakers' top 5 players. Aggregated and cleaned real NBA shot data, then rendered spatial shot charts on a 3D court model with color-coded heatmaps to highlight high-frequency scoring zones. Designed intuitive camera controls and player-selection UI, enabling users to explore shot distribution patterns and compare tendencies across players in an immersive, game-engine-powered environment.

Unity
C#
Data Visualization
NBA API
3D Modeling

03.Experience

Business Analyst Intern

Subletr

New York, NY

June 2025 -- August 2025

>>Used SQL and Python to analyze user acquisition and onboarding funnels, identifying drop-off points that informed experiments and contributed to a 25% reduction in early-stage churn.
>>Built Tableau dashboards tracking sign-ups, cohort retention, and campaign performance, supporting data-driven decisions that helped drive 70% growth in student registrations within 12 weeks.
>>Conducted A/B test analysis on landing pages and messaging by combining behavioral data and engagement metrics to optimize conversion rates across key university segments.

Data Analyst Intern

Presence Capital

San Francisco, CA

Feb 2025 -- April 2025

>>Queried and cleaned operational and sponsorship data using SQL, creating structured datasets for financial and performance analysis.
>>Developed dashboards to visualize sponsorship pipeline health, budget allocation, and performance trends for internal stakeholders.
>>Analyzed historical partnership and revenue data to generate insights on ROI and resource allocation, supporting leadership decision-making.

Data Analyst Intern

Ohio State University

Columbus, OH

Oct 2024 -- Dec 2024

>>Used Python to clean, organize, and analyze large medical imaging datasets, preparing structured inputs for downstream analysis and evaluation.
>>Performed exploratory data analysis to identify trends, inconsistencies, and edge cases affecting diagnostic outcomes, collaborating with PhD Researcher Archie Tram.
>>Created performance summaries and analytical insights from labeled data to support evidence-based evaluation of fracture detection results.

04.Skills

Data Analytics

Analyzing user funnels, cohort retention, and campaign performance to surface actionable insights that drive growth.

SQLPythonA/B TestingMarket ResearchFinancial Analysis

Data Engineering

Querying, cleaning, and structuring large-scale datasets from raw sources into analysis-ready pipelines.

MySQLPythonJupyterData CleaningETL Pipelines

Data Visualization

Building interactive dashboards and reports that translate complex metrics into clear, data-driven narratives.

TableauMatplotlibDashboard DesignKPI TrackingReporting

Data Science

Applying machine learning and statistical methods to solve real-world problems, from medical imaging to NLP.

TensorFlowCNNsNetworkXEDAModel Evaluation

Get In Touch

I'm always open to discussing new opportunities, collaborations, or just chatting about data and technology. Feel free to reach out!

arnavsen@umich.edu

GitHub

github.com/asenthil8910

linkedin.com/in/arnavsenthil