Hi, I'm Andrew!

I'm a

To me, a dataset is more than numbers: it's a chorus of untold stories. My passion lies in giving those stories a voice and transforming them into strategies that inspire real-world change.

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My Approach

Where stories meet solutions.

Every project begins with unfamiliar questions. I’ve tackled them in labs, fields, classrooms, and SaaS teams, building models and shipping tools. Whether in science or strategy, I adapt quickly and design approaches that create value beyond the data itself.

When the next unfamiliar question arrives, bring on a teammate who translates noise into direction. I turn ambiguity into clarity and data into decisions. Together, we'll write the next story.

Specialization Data Science & Analytics

Experience Level Early Career

Education Data Science, Harvard

Languages English, Python, SQL, R

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Curious about the person behind the screen? Check out my fun facts written patch-note style.

Years of Data Education

Domains Bridged

Projects Completed

Hours in Solo Study Rooms

Skills

Bringing data to life through code, modeling, and visualization.

Programming Languages

Python

R

SQL

JavaScript

Data Science & Engineering Tools

Machine Learning

Deep Learning

Data Visualization

ETL / Data Pipelines

Experience

Explore highlights from my data journey below. For a complete, up-to-date resume, download the PDF version

Professional Summary

Data scientist (Harvard MS) focused on building scalable, high-impact analytics and real-time detection systems. Passionate about turning complex, messy data into clear insights and practical products at the intersection of technology, business, and strategy.

Contact Information

Boston, MA
sullivan.j.andrew@gmail.com
+1 (781) 296-6009
.../in/andrewjosephsullivan

Technical Skills

Programming Languages

Python R SQL JavaScript

Data Science & Machine Learning

Pandas NumPy Scikit-Learn TensorFlow Machine Learning Probability

Data Visualization

Matplotlib Seaborn Plotly D3.js Tableau

Cloud & DevOps

AWS (S3) Git GitHub CI/CD Testing / TDD

Professional Experience

Data Scientist – End-to-End Model Development & Signal Processing at Scale

Oct 2024 – Aug 2025

Titan Advanced Energy Solutions

Led design and delivery of a real-time lithium-ion battery failure prediction system for a DOE SBIR Phase II project; authored 30+ page DOE technical report.
Built Python anomaly detection pipeline on AWS S3 ultrasonic data, using moving averages and rolling-window statistics to track signal variance.
Engineered 14 statistical, spectral, and transform-domain features for robust failure detection without manual tuning.
Designed multi-layer validation with smoothing, adaptive baselines, and cross-sensor consensus to flag anomalies while minimizing false positives.

Data Science Intern – Scalable Visualization & ETL Development

May 2023 – Aug 2023

Invaio Sciences

Created scalable D3.js heatmap tool, surpassing Looker, for detailed molecular plate analysis in trial evaluations.
Fixed two major visualization issues affecting ~50% of custom dashboards, ensuring accuracy and reliability.
Built Python ETL scripts to apply business logic to diverse sources, streamlining data lake integration.

Data Analytics Intern – Predictive Modeling & Strategic Insights

Apr 2021 – Jul 2021

Hi Marley

Delivered four C-suite recommendations projected to boost customer satisfaction by 20%, based on predictive analysis of 2,000+ claim cases in R.
Developed SQL-based feature to track employee performance via analytical dashboard, improving operational efficiency.

Programming Teacher

Sept 2021 – May 2022

Tech4Kidz

Taught weekly programming lessons to middle and high school students using Python and JavaScript.
Guided 10+ students per session on projects in Replit, App Lab, and Scratch.

Undergraduate Teaching Assistant – Database Management Systems

Jan 2021 – Apr 2021

Syracuse University

Assisted 30+ students with SQL and database concepts in weekly labs.
Held office hours for 50+ students to troubleshoot code and clarify concepts.

Education

MS in Data Science

May 2024

Harvard University | John A. Paulson School of Engineering and Applied Sciences

Relevant Coursework: Machine Learning, Deep Learning, Systems Development for CS, MLOps, Data Visualization.

BS in Information Management & Technology

Concentration(s): Data Analytics & Project Management

May 2022

Syracuse University | School of Information Studies

Awards & Activities: Summa Cum Laude (3.94/4 GPA), SU Scholars Nominee, Mentor (InclusiveU), Philanthropy Chair (Psi Upsilon).

Projects

Hover over a tile to preview each project, and click to explore a full summary — including supporting materials like GitHub repositories, reports, and visualizations when available.

Behind the Code

There's always more running in the background. Click below to see the bugs that make me, me.

Patch Notes: Andrew Edition

Minor updates, odd features, and a few fun bugs that keep life interesting beyond the screen.

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🛠️

DIY Projects & Hardware Hacks

Release Note: Previous builds include a dock and a one-way-mirror smart display; the real constant is a perpetual while(true){ tinker(); }.

📚

Accidental History Minor

Hidden Feature: Too many electives compiled into a History minor. Patch v1.0 added spontaneous fact-drops; patch v1.1 confirmed no measurable trivia-night performance gains.

⚡

First Race: Boston Marathon

Performance Log: First-ever race was the Boston Marathon; raised funds for Spaulding Rehabilitation Hospital. Post-race set runAgain = false; cooldown timer still running.

🍞

Sourdough R&D

Known Issue: Cultured "Janice" from scratch; she now passes rise checks on schedule but remains a flaky dependency that needs regular monitor() and feed() calls.

📹

Viral Video at 15

Release Note: Rocky-themed Eagles hype video hit ~300K views in 48 hours (before the NFL set copyright=true), as part of a media brand I grew to millions of impressions with ad deals and partnerships before 18.