Predicting House Prices with Machine Learning
Trained a regression model in Python that predicts house sale prices from property features, explaining around 80% of the variance.
Read more
About me
Senior Data Analyst at Billups
I work with large-scale location and mobility data, building the analyses and tools that turn it into decisions. As a Senior Data Analyst at Billups, I measure audience behaviour and campaign effectiveness using statistical and causal methods, working in Python, PySpark, R and SQL on Databricks.
I take projects from start to finish: scoping the question with stakeholders, exploring and modelling the data, and delivering results the business can act on. Beyond the analysis itself, I build the infrastructure behind it: version-controlled pipelines, CI/CD workflows, and reusable Python packages that teams can import across projects. My work sits between analytics and analytics engineering, and that’s where I want to keep growing.
What I bring on top of that is a background in economics and market research. I hold two Master’s degrees in economics, with extracurricular courses in advanced machine learning and data science. I’ve also worked on pricing research at SKIM and commodity market intelligence at Vesper. As a result, I approach problems with the business context in mind, not just the technical answer.
Experience
Sep 2024 – PresentUnited States · Remote
Billups
Senior Data Analyst
Oct 2025 – PresentData Analyst
Sep 2024 – Oct 2025I use a mix of programming, statistical modelling and business context to generate insights that guide investment and media strategy decisions.
- Analyse audience visitation, mobility patterns and campaign effectiveness across locations using PySpark and Databricks
- Perform attribution modelling and causal impact analysis in R and Python to assess media performance
- Build automated workflows and dashboards to support cross-functional reporting and ad strategy
- Collaborate with science, engineering and strategy teams to translate complex data into actionable business insights
Oct 2021 – Sep 2024Freelance
Data Analyst
STATICA is a research, analysis and consultancy organisation.
- STATICA conducts field surveys, target group analyses and analyses of collected data, turning findings into action plans that take social, political and economic changes into account
- As a part-time freelancer, I supported projects intermittently by conducting research, collecting and cleaning data, and creating visualisations
May 2023 – Feb 2024Rotterdam, Netherlands · Hybrid
Market Research Analyst – Revenue Growth Management & Pricing
SKIM is a global insights agency helping companies thrive by understanding decision-making.
- Conducted pricing and portfolio research to help consumer goods companies optimise their pricing strategies and product portfolios
- Collaborated with cross-functional teams to script and set up research studies, ensuring accurate data collection and analysis
- Provided actionable recommendations to clients based on data analysis and modelling outcomes
Dec 2021 – Apr 2023Amsterdam, Netherlands
Vesper
Market Intelligence Analyst
May 2022 – Apr 2023Data Analyst
Dec 2021 – May 2022Vesper is an independent commodity intelligence SaaS platform.
- Conducted extensive market research to identify key trends and opportunities, and competitive analysis to inform business strategies and decision-making
- Used Python for ad hoc tasks, including correlation analysis with descriptive and inferential statistics, to provide insights into large datasets
- Created clear visualisations to support data-driven decision-making in meetings with stakeholders
- Gathered data through primary (interviews) and secondary research, and turned the findings into insights and recommendations for the business
- Used SQL to identify gaps and irregularities in data, and worked with colleagues to resolve them
- Worked with the product team on targeted customer segmentation strategies, resulting in increased engagement and retention
- Worked with data scientists to identify relevant exogenous variables, contributing to forecasting improvements
- Wrote and co-wrote client-facing reports, providing insights to clients and contributing to business growth
- Conducted fundamental and technical analysis on commodity markets to inform business strategies
- Reached out to companies and other parties, individually and with the commercial team, to secure deals and bring in valuable data
Projects
Covid-19 Data Exploration
Used SQL to explore the most recent publicly available Covid-19 data, comparing infection rates and deaths across countries and continents.
Read more
Public Bike Sharing
MSc thesis pre-research: clustered bike-sharing stations by usage to compare travel patterns before and during Covid-19.
Read moreEducation
- MSc in Spatial, Transport and Environmental EconomicsVrije Universiteit Amsterdam · 2021
- MSc in EconomicsEastern Mediterranean University · 2021
- BA in EconomicsManchester Metropolitan University · 2018
Skills
- Python
- PySpark
- Databricks
- R
- SQL
- Statistical modelling
- Attribution modelling
- Causal impact analysis
- Machine learning
- Clustering
- Regression
- Dashboards & automation
- Data visualisation
- Market research
- Pricing research
Contact
You can reach me by email or on LinkedIn.