Complex problems, Data-driven answers

I help companies understand their customers and make smarter decisions through data science, machine learning, and NLP.

I believe the most powerful models are those that are reproducible and safe. As a researcher and public speaker in AI bias and safety, I study how bias manifests in generative AI, because the most powerful tools deserve the most scrutiny.

Formally trained in mathematics, statistics, international management, and data science.

About me

Featured Projects

  • Stop Cold Calling, Start Targeting

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  • Breaking Down Data Silos with AI-Powered Chatbots

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  • Multi-Touch Attribution (MTA) - who takes credit for the sale?

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See all projects

About

Skills

Programming & ML: SQL (Snowflake), Python (PyTorch, TensorFlow, Scikit-learn, numpy, pandas)

Statistical Methods: Logistic Regression, A/B Testing, Bayesian Inference, advanced machine learning

Cloud & Data Infrastructure: GCP, Snowflake, Docker, Git/GitHub

Analytics & Visualization: Tableau, Power BI, Adobe Analytics

NLP & AI: LLM API Integration, RAG Systems, Semantic Prediction, Zero-Shot Classification, Sentiment Analysis

Professional experience

Graduate Data Analyst | Fordham University IT Department | November 2025 – Present

Data Scientist, CRM & Customer Lifetime Value | Legal & General (Financial Services) | May 2024 – December 2024 (Short Term Contract)

Data Scientist, CRM, CX & CRO | TUI Group (Travel & E-Commerce) | 2022 – 2024

Freelance Data Scientist | 2021 - current

education

MSc Data Science (3.95 GPA) | Fordham University | Jan 2025 - May 2026

PgC International Management & Marketing | Royal Holloway University | Sept 2021 - June 2022

BSc Mathematics (3.7 GPA) | Royal Holloway University | Sept 2018 - June 2021