Website: Joseph Email: oluochjoseph00.@gmail.com
SUMMARY
A driven individual with a passion for solving problems by drawing on data, statistical analysis, mathematics and calculated reasoning. Currently a PhD Research Fellow developing robust machine learning methods for high energy physics, alongside research assistant work in AI economics. Gained proven theoretical and empirical skills through academic studies and industry experience.
EDUCATION
PhD, Data Science
Western Norway University of Applied Sciences, Norway Jun 2026 – Present
Researching robust machine learning inference methods for high energy physics.
Masters Programme in Statistics – Statistical Modeling & Data Science
Örebro University, Sweden Sep 2023 – Jun 2025
Grade: VG
Master’s Thesis II
Mar 2025 – May 2025
Title: Small Area Estimation of Unemployment Rates Using Big Data: Integration of Labor Force Surveys with Geospatial Data
Supervisor: Thomas Laitila, Professor of Statistics
Master’s Thesis I
Mar 2024 – May 2024
Title: Modelling Volatility in EU Allowance Future Prices: Role of Outliers and Oil Price Uncertainties (Access link)
Supervisor: Stepan Mazur, Associate Professor of Statistics
Bachelor of Science – Actuarial Science
Dedan Kimathi University of Technology, Kenya Sep 2014 – Apr 2018
Grade: Honors
PUBLICATION
Currently working on a paper with Stepan Mazur, Associate Professor of Statistics at Örebro University. This paper is an extension of my thesis work titled: Modelling Volatility in EU Allowance Future Prices: Role of Outliers and Oil Price Uncertainties.
Present
WORK EXPERIENCE
Doctoral Student
Western Norway University of Applied Sciences, Bergen Jun 2026 – Present
- Researching robust machine learning inference methods for high energy physics; developing approaches whose conclusions remain reliable under distribution shift and imperfect simulation.
Research Assistant, AI-Econ Lab
Sörby Economics AB, Örebro Oct 2025 – Present
- Builds and maintains the lab’s public data tools, including the DAIOE Explorer and the AI in Demand monitor pipeline.
Statistics Intern ML/MA
Statistiska Centralbyrån (SCB), Sweden Jan 2025 – Mar 2025
- Inducted to the statistical production process at SCB.
- Designed and implemented an imputation framework in SAS for the inventories in the business registers with 300 000+ entries, boosting data completeness and production of more reliable statistics.
- Contributed to a conference paper on Trust in Official Statistics to be presented at the 65th ISI World Statistics Congress, synthesising empirical findings and recommending best practices for transparency.
Statistical Programmer (Apprenticeship)
Eurostat, EU Remote Mar 2024 – Jun 2024
- Reproducing Eurostat’s Statistics Explained articles in computational notebooks (Quarto markdown, Rmarkdown).
- Automated dataset extraction and preprocessing via the Eurostat API.
- Designed and delivered interactive and static visuals including choropleth maps, time-series plots and comparative bar charts that highlight key indicators across all 27 EU member states.
- Project link –
GitHub Repository
Data Scientist
Freelance, Multiple Clients Jan 2023 – Present
- Data description and preliminary product feasibility insights for an agricultural start-up, including assessing the suitability of various market approaches and forecasting cashflows.
- Development of statistical anomaly detection regimes in the general insurance claims data, including documenting analysis tools in an R package.
- Designing and maintaining a web-scraping bot that could analyse and report arbitrage opportunities in the sports betting markets.
Data Analyst
Nurunet Communications Ltd, Kenya Jan 2021 – Jun 2023
- Led a team of two junior analysts to design and implement a Python NLP pipeline (using pandas, NLTK and spaCy) that web-scraped and auto-summarised NuruTalk App user feedback; produced weekly insights reports for DevOps and senior management, driving UX improvements and helping the app surpass 100 000+ Play Store downloads.
Junior Data Analyst
Nurunet Communications Ltd, Kenya May 2018 – Jan 2021
- Creating and presenting visualisations in Tableau that showed various KPI metrics; collecting, cleaning and organising data to ensure accuracy and completeness.
Actuarial Intern
Madison Group Ltd - Insurance, Kenya Jan 2017 – Apr 2017
Assisted in developing pricing models and performing experience analysis for life and general insurance products.
Constructed life mortality tables and contributed to statutory insurance valuation reports using Excel.
Analysed market research data to assess the relevance of insurance products to customer needs and expectations.
WORKSHOPS, SEMINARS & TALKS
Inspiration Lecture on Master Students’ Journey through the European Big Data
Örebro, Sweden 7 May 2025
Delivered an inspiration lecture to the 1st year Master’s students in Statistics about our attendance at the European Big Data Hackathon 2025.
10th EMOS Workshop 2024
Wiesbaden, Germany (Eurostat CROS) 14-15 Nov 2024
Panelist speaker discussing EMOS Learning Materials and Opportunities.
SKILLS - Technical Stack
| GCP (BigQuery), AWS | Git + Github | Bayesian Statistics |
| Python, R, SQL, SAS | Tableau, Power BI, ggplot2 | Communication & Teamwork |
| TensorFlow/PyTorch, scikit-learn, Tidymodels | Ubuntu, Zorin OS, Windows | Statistical Modelling, Particle Physics |
CERTIFICATIONS
- Data Science Math Skills
- Global Training on Disaggregated Estimates Using Small Area Estimation in R
- Google Data Analytics Professional
- Data Pipeline Automation with GitHub Actions Using R and Python
- Geospatial Analysis: Introduction to geospatial analysis techniques for analysing and visualizing spatial data in official statistics
SCHOLARSHIPS AND AWARDS
Swedish Institute Scholarship for Global Professionals 2023
Having demonstrated a strong professional background and a commitment to achieving Sustainable Development Goal 9 – Industry, Innovation, and Infrastructure, I was awarded the Swedish Institute Scholarship for Global Professionals.
Örebro Enskilda Handelsförenings Stiftelse, Award for Exceptional Master’s Thesis 2025
LANGUAGE
- English: Full Professional Proficiency level
- Swedish: Beginner level
- Swahili: Native speaker
VOLUNTEERING
BethanyKids - Joytown Special School, Kenya May 2021 – Jun 2023
- Analysed student health data to support medical decisions and service improvement, while designing and updating data collection procedures.
- Led community outreach initiatives and assisted in managing assets to enhance educational access for children with disabilities.
References
Available upon request