I’m a data science leader with a passion for solving complicated problems using innovative techniques. I am experienced in building a data science vision, taking projects from proof of concept to production and delivering business value.
I have a proven record of successfully leading high performing Agile teams, setting the correct direction and culture as well as creating right processes and continuously improving them. I oversee hiring and building of teams, with a strong emphasis on coaching and mentoring of direct reports.
Currently leading the Decision Science team at Domestic & General, working on classification problems to identify fraud, improve marketing and reduce customer churn, as well as delivering proof of concepts using generative AI and Large Language Models (LLMs).
Experience:
Decision Science Manager • Domestic & General April 2023 - Present
Senior Data Science Manager • Zego April 2022 - April 2023
Data Science Manager • Financial Conduct Authority February 2020 ‑ April 2022
Senior Data Scientist • Financial Conduct Authority August 2018 ‑ February 2020
Senior Data Scientist • BAE Systems Applied Intelligence August 2015 ‑ August 2018
Data Scientist • Ministry of Defence (MOD) September 2013 ‑ August 2015
Key Technologies:
Productivity: Notion • Jira • Slack • Miro • Confluence • Tableau • draw.io • Lucidchart • Whimsical
Programming: Python (Pandas, Scikit‑learn, PyTorch, TensorFlow, SpaCy, Streamlit, Huggingface, Cookiecutter) • SQL
AWS: EC2 • SageMaker • S3 • RDS • EMR (Spark) • ELB • Kinesis • Athena • Elasticsearch Service
Azure: Open AI Service • Azure Machine Learning
Other: Databricks • Kubeflow • Kubernetes • Docker • Git • DVC • MLFlow • Snowflake • Airflow