About me
I build data pipelines and data infrastructure that bring data from multiple sources together into scalable, efficient formats, ready for semantic modelling and fast-refreshing visualizations.
I apply these skills as a Data Analyst: pulling data from public and internal APIs, modelling and governing it in Databricks or BigQuery, and serving it through Power BI dashboards and automated reports.
Data engineering
API ingestion, scheduled pipelines and dimensional models built to scale.
Data governance
Governed, documented tables in Databricks and BigQuery that teams can trust.
Power BI solutioning
Semantic models, DAX and dashboards that refresh fast and read clearly.
Experience
Data Analyst (Statistician)
- Migrated the Youth Labour Market Information Power BI dashboard from local Excel files to an automated Databricks pipeline, synthesising data from multiple sources including REST APIs into a medallion architecture with star schema gold tables hosted in Power BI, cutting each monthly refresh from roughly two days of manual updates to a scheduled run of under 10 minutes.
- Automated the monthly reporting pipeline for several economic reports using advanced R and agentic coding, reducing reporting time from one month to a single execution.
Junior Economist
- Built a Power BI dashboard offering real-time, web-scraped emission source mapping, ensuring 3 years of analytical value for the team.
- Spearheaded one of seven segments on a Prairie economy analysis with R for the CIIT binder to the Prime Minister.
Enterprise Sales Intern
- Analyzed Nigeria's top 4 banks, creating market trend visualizations used to support cybersecurity solution positioning for the sales team.
- Organized and hosted a high-impact 400+ attendee technology event addressing AI bias and ethical AI adoption, coordinating speakers and program delivery.
Data Science Intern
- Performed customer churn analysis for a $12.41 billion telecommunications company; automated data pipeline for 400k+ rows, reducing manual reporting time by 94%.
- Developed a machine learning churn forecasting model that exceeded churn risk identification goals by 10%.
Outside the office
Outside of work, I enjoy creating music, developing iOS applications and playing football.
Playing the piano from an early age put creativity at the centre of how I see everything. I prioritize that creativity in the problems I solve at work, and outside of work I still find time to make a song here and there.
Alongside music, I enjoy developing iOS applications, and Claude Code has been really helpful here, using agentic coding to build apps. It started with me trying to solve problems I face in my daily life, and it turned into a passion once I learned I was providing solutions that others found really valuable. It has also been a great way to learn agentic coding, which I now use in my workflows as a data analyst.
Finally, alongside the things that stimulate my mind, I make sure I stay active. Football keeps me in shape and feeds my competitive spirit. It has also been great for building confidence in my ability: taking on a player on the wing requires you to believe you can beat your opponent, and I love that about the game.
Overall, these three areas take up most of my time outside of work, and they have even shaped some of my perspectives as a data analyst.
Resume
Education, experience and skills in one page.