Economist building data systems that turn complex data into clear, decision-ready insights.

What I Do

I work at the intersection of economic analysis and modern data engineering, translating large, complex datasets into structured, actionable intelligence.

Experience Across Domains

Labor Markets Energy Analytics Real Estate Emergency Management

Built everything from executive dashboards to automated data pipelines.

How I Work

Accessible
Scalable
Production-ready

Tools & Stack

Power BI Tableau Python R SQL AI Automation Machine Learning

From econometric modeling to production pipelines, I build systems that deliver insights quickly, clearly, and reliably.

Efe Peter Oroh
Efe Peter Oroh
Economist · Data Scientist

Work Experience

Professional roles across economics, data science, and analytics.

May 2024 – Present
Junior Economist
Government of Alberta
Edmonton, AB
Power BI R SQL
  • Owned the full data analytics lifecycle for a Labour Market Insights Power BI dashboard, requirements gathering, data modelling, Power BI visualization, and stakeholder delivery on a 45M-row dataset.
  • Led advanced R & SQL-based analysis on the impact of migration on Alberta's labour market; automated monthly data pipeline, reducing reporting time from 1 month to a single execution (~95% reduction).
Jan 2024 – May 2024
Junior Economist
Government of Canada
Edmonton, AB
Power BI R Python
  • 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.
May 2023 – Aug 2023
Enterprise Sales Intern (Unpaid)
Microsoft
Lagos, Nigeria
Python
  • 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.
May 2022 – Aug 2022
Data Science Intern
Deloitte Consulting
Lagos, Nigeria
R Tableau SQL
  • 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 music, staying active, spending time with my dog Ace, and reading philosophy and world history, particularly the works of Martin Buber and Simone Weil. The habits and perspectives I have built across these areas shape how I think, and I try to bring that into how I work.


Music has shaped how I think about structure, flow, and adaptability. Playing the piano from an early age taught me to work iteratively: trying different approaches, refining until something clicks, and recognizing when a solution is both functional and intuitive. That instinct for iteration and precision carries directly into how I build data products.


Staying active through football, track, and time with Ace has built discipline, consistency, and situational awareness. These qualities translate directly into analytical work: maintaining focus through ambiguity, adjusting quickly when assumptions shift, and executing under pressure without losing care for quality.


Reading philosophy and history has shaped how I think about systems, context, and meaning. It pushes me to go beyond surface-level patterns and ask not just what the data shows, but why it looks that way and what that implies for the broader picture. Strong analysis requires that kind of depth.

Ace
Reading
Piano

Resume

Full curriculum vitae available for download.

Efe Peter Oroh

Economist · Data Scientist
Full résumé including education, experience, and skills.

Download Resume