Experience, education & skills
I build measurement systems and the products on top of them. That means deciding what gets measured, how it is scored, and what the person on the other end sees, then owning the build until it ships.
Across three companies the pattern is the same: an uptime monitor that reads each service against how it normally behaves, an AI visibility score that reads engine answers for mentions and sources, and a wellness score that reads each test result against the user's own history. The analytical training comes from Carnegie Mellon, the instinct for the story behind the numbers from Columbia.
I write the technical specs the build runs on, set pricing and positioning from competitive analysis, and run the brand and content programme myself.
Python (pandas, scikit-learn, PyTorch), R, SQL, Flutter and Dart, Git, REST APIs, Shopify app development, LLM and MCP tooling.
Statistical inference and hypothesis testing, regression and classification, time-series forecasting, experimental design and A/B testing, feature engineering, model evaluation and cross-validation, ETL and pipeline design, dashboarding and visualisation.
Gradient boosting (XGBoost), transformer models and domain-adapted language models, convolutional networks and computer vision, generative models for synthetic data, fairness-aware pipelines on clinical data.
Product strategy and roadmapping, pricing, competitive analysis, search and answer engine optimisation, brand and content strategy, technical specification writing, stakeholder communication.
Semester-long project combining data engineering, predictive modelling, and business strategy, including dashboards and rigorous statistical and ML analyses.
View on GitHubNotebooks exploring market trends, price forecasting, technical indicators, time-series models, feature engineering, and backtesting strategies.
View on GitHubClassification modelling using logistic regression, decision trees, and ensemble methods to predict diabetes outcomes, with a focus on data cleaning and feature selection.
View on GitHubStatistical modelling and exploratory analysis of property valuations and biological growth under varying conditions, using regression techniques and visualisation.
View on GitHubLarge-scale public health dataset analysis with morbidity and mortality trend visualisation, plus user-experience testing for dashboard accessibility.
View on GitHubContent generation tool automating blog creation with customisable parameters for tone, topic, and length.
View on GitHubMarketing and Event Leader · May 2025 – Mar 2026Directed marketing campaigns and event planning for the BioSummit and the MITCOB Gala, and coordinated promotional communications and stakeholder outreach across the organisation.
Communications Committee · Jan 2026 – presentDesigned promotional posters and visual layouts for the London Step-tember challenge, and distributed books in Upper Manhattan for the Literacy Treat Exchange project.
Ambassador & PanelistEstablished StatusBird's structured internship programme in partnership with The Intern Group and serve as an ambassador and panelist for the organisation.
Off the clock: distance running (currently training for a half marathon), pre-Prohibition cocktail history, and international travel.