Profile
Data Scientist with 4 years of experience driving business impact through data analytics, machine learning, and automation. Proficient in Python, SQL, and A/B testing with a strong grounding in causal inference. Adept at translating complex data into actionable insights to support strategic decision-making across product, business, and operational teams.
Note: Currently on a Skilled Worker Visa and would require Visa sponsorship for a new role.
Skills
- Programming & Databases
Python
SQL
C++
Streamlit
Snowflake
- Data Science & ML
Machine Learning
Statistical Analysis
A/B Experimentation
Causal Inference
Data Visualisation
- Tools & Platforms
AWS
Tableau
Power BI
Fivetran
Git
Docker
Linux
- Professional
Stakeholder Engagement
Technical Presentations
Project Management
Experience
Data Consultant
STONEHAVEN | London, UK | Jul 2023 - Present
- Automated data pipelines from S3 to Snowflake using AWS Lambda and Fivetran, cutting manual data processing effort by 90%.
- Created a custom multi-persona chatbot using OpenAI’s API and advanced prompt engineering, enabling safe and effective AI adoption for internal queries.
- Led a pan-European data project; duties included setting up Snowflake and Supabase data warehouses, fielding surveys (n≈50,000), and delivering advanced analysis (regressions, MRPs) and custom audience segmentation.
Data Analyst
STONEHAVEN | London, UK | Sep 2021 - Jul 2023
- Built a no-code internal visualization and data exploration tool that eliminated data request response time by 95%; this tool achieved nearly 100% adoption and is a core part of new-hire onboarding.
- Drafted, fielded, and analyzed over 115 surveys (~2,000 participants each), consistently uncovering key insights for clients.
- Scraped 30 years of data from nine distinct websites using Python (httpx, Beautiful Soup, Selenium), delivering the final dataset in 1/60th of the projected timeframe.
Data Science Intern
BREATHE HAPPY | London, UK | Feb 2021 - Jun 2021
- Developed computer vision models for human pose estimation using MobileNet and EfficientNet, achieving 90% accuracy on key benchmarks.
- Presented technical findings and model performance to senior leadership, translating complex results into actionable business recommendations.