Versatile and innovative compliance and audit technology leader with over 14 years of experience in cryptocurrency and financial services with a focus on defining global analytics strategies, driving transformation amongst regulatory scrutiny, and ensuring data governance and quality. Expertise in building robust models and technology processes for predicting, monitoring, and reporting anti- money laundering, sanctions, and regulatory compliance risks.
Currently pursuing a full-time, technically focused MBA at MIT Sloan with an emphasis on AI/ML in financial institutions. Available June 2025.
Coursework includes: Data, Models and Decisions, The Analytics Edge, Managing Innovation in Financial Institutions, Advanced Data Analytics and Machine Learning in Finance, Deep Learning, Architecting and Engineering Software Systems.
SQL, Python (pandas, NumPy, SciPy), GitHub, Data Engineering (Airflow, dbt, AWS, APIs), Data Warehouses (Snowflake, MS SQL Server), Data Visualization (Looker, Qlik, Tableau, Matplotlib, Seaborn), Natural Language Processing (NLTK), Machine Learning (Scikit-learn), Generative AI and Large Language Models (OpenAI, Llama)