M.S. Data Science, Columbia University · New York, NY
I've built the revenue and sales analytics that teams at Yelp and Hatch run on, trained deep learning models to classify lymphoma subtypes, and I'm now building regime-aware models for futures markets.
From biotech research in Cape Town to revenue and sales analytics in New York, each role moved closer to the business side of data.
May – Aug 2026
Business Operations Analyst Intern
Yelp · New York, NY
Built and optimized SQL queries behind Tableau dashboards tracking account executive performance, pipeline trends, and sales KPIs.
Built and presented HubSpot reports that let sales reps track monthly quota goals, contributing to a 20% increase in productivity.
Created account manager profiling processes with Stripe data to validate contract terms and keep payout calculations accurate.
Jun – Aug 2025
Revenue Analyst Intern
Hatch · New York, NY
Led cohort-based net revenue retention analysis across industry verticals and AI adoption, surfacing patterns that informed product strategy.
Set up automated SQL pipelines in BigQuery and interactive Metabase dashboards, giving RevOps and Product real-time visibility into revenue.
Ran weekly time-tracking analysis for account managers, with recommendations to improve productivity.
Hatch office, New York
Jun 2024
Data Science Intern
Axaitech · Cape Town, South Africa
Designed data structures and models for anticancer peptides, targeting specific amino acids to evaluate treatment effectiveness and support early detection tests.
Researched the biotechnology behind anticancer peptides to identify the features that matter for modeling.
Worked with fellow interns to assemble a foundational dataset, reconciling different approaches along the way.
Projects
The same methods, on harder questions
The modeling side of my work: deep learning on medical images, predictive models on startups, and now regime-aware models for futures markets.
Deep Learning for Malignant Lymphoma Subtype Classification
Compared five CNN architectures on histopathology images of CLL, FL, and MCL, and tested how well they generalize using external validation and softmax confidence analysis.
Python
PyTorch
ResNet18
VGG16
DenseNet201
Xception
InceptionV3
93.85%best accuracy across three lymphoma subtypes
In progress Sep 2026 – Present
Few-Shot Learning for Regime-Aware Futures Trend Following
Replicating X-Trend, a deep learning trading model that pairs LSTM encoders with cross attention over Gaussian process change-point regimes, across 50 futures contracts from WRDS.
Benchmarking out-of-sample Sharpe and drawdown against Long, TSMOM, and MACD
Python
PyTorch
LSTM
Gaussian processes
WRDS
Jan – May 2026
Predicting Y Combinator Startup Outcomes
Modeled outcomes from founder, structural, and temporal features with XGBoost and hierarchical clustering, then used feature importance to find the strongest predictors of success.
Classification accuracy 74.7%
Python
XGBoost
scikit-learn
Clustering
Languages
Python, SQL, MATLAB
Libraries
Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, CUDA
Four years of math and scientific computing at Florida State, now a master's at Columbia's Data Science Institute.
Sep 2026 – Dec 2027
Columbia University
M.S. in Data Science · New York, NY
Columbia Entrepreneurship & Venture Society: Executive Board, External Affairs
Data Science Institute Student Council: Social Committee
Jun 2022 – May 2026
Florida State University
B.S. in Computational Science · Tallahassee, FL
GPA 3.853, Honors in the Major
President's List, Spring 2024
Dean's List, five semesters
Honors medal ceremony, Florida State
My story
Why lymphoma research is personal
In the middle of my undergraduate degree, the disease I now study became my own diagnosis.
In April 2025 I went to Tallahassee Memorial Hospital for back pain I had written off as a muscle strain. Within days, doctors found a large mass between my liver and pancreas and diagnosed it as Burkitt lymphoma, a rare and fast-growing cancer.
I spent the next six months in chemotherapy at VCU Health in Richmond, including five-day infusions of dose-adjusted EPOCH-R and methotrexate. Through all of it I kept up my coursework and completed my virtual internship at Hatch. My parents, my girlfriend, and my fraternity brothers at Phi Gamma Delta made sure I never went through it alone.
I finished treatment on September 25, 2025, and returned to Florida State shortly after. Back on campus, I finished my honors thesis on deep learning for lymphoma classification, and graduated in May 2026. The experience taught me to keep small stresses in perspective, and it gave my work in data science a reason that goes beyond the numbers.
I'm a 3 handicap, played club golf at Florida State, and caddied at The Foundry Golf Club in Powhatan, Virginia, so I've seen the game from both sides of the bag. It's how I unwind, and it's my favorite excuse to spend four hours outside with good people.
Wohali, UtahBear's Club, FloridaKinloch, Virginia
Handicap
3
Club golf
Florida State
Previous caddie
The Foundry Golf Club, Powhatan, Virginia
If you play, let me know. I'm always looking for a new course to try.
Always up for a round.
Contact
Looking for a Summer 2027 data science or analytics internship
If your team works on modeling, analytics, or revenue strategy, I'd like to hear about it. Email is the fastest way to reach me.
