Resume

👤 Leykun Getaneh

Data Scientist | Senior Statistician | Data Analyst

📍 Addis Ababa, Ethiopia
📧 leyk.get@gmail.com
🔗 GitHub | Website | LinkedIn

🧠 Summary

Data Scientist, Statistician, and Data Analyst with 10+ years of experience in academic and public health research. Skilled in R, Python, and statistical modeling with strong expertise in machine learning and emerging deep learning approaches (including transformer-based models such as TFT).

Experienced in building predictive models, interactive dashboards, and scalable analytics pipelines using tools like Shiny, Streamlit, and Quarto.

Focused on applying data science to disease modeling, forecasting, and public health decision support systems.

💼 Experience

Data Scientist

National Data Management and Analytics Center (NDMC), EPHI Jan 2025 – Present

  • Apply machine learning, deep learning, and AI to public health data
  • Develop scalable R/Python analytics pipelines and predictive models
  • Build dashboards using Shiny, Streamlit, and Quarto
  • Analytics & Visualization Team Lead for impactHDSS project
  • Lead data scientist to Early Warning and Response System (EWARS)
  • Deliver training in R and Python for health professionals
  • Contribute to research outputs and policy-relevant analytics

Lecturer / Researcher / Statistician

Wollo University Sep 2016 – Dec 2024

  • Taught statistics and data science courses
  • Delivered training in R, Python, SAS, and SPSS
  • Supervised undergraduate research projects
  • Coordinated departmental research initiatives

🔬 Projects

Malaria Forecasting Dashboard

  • Built interactive forecasting system using Shiny
  • Supports woreda → national level decision-making

impactHDSS Analytics Platform

  • Led development of analytics pipelines and dashboards
  • Multi-site health and demographic surveillance system

EWARS (Early Warning System)

  • Designed outbreak detection algorithms
  • Integrated multi-source surveillance data

Micronutrient Deficiency Prediction

  • ML-based prediction using DHS data
  • Published in Frontiers in Nutrition

COVID-19 Dashboard

  • Nationwide tracking dashboard using Quarto

Earthquake Tracker

  • Real-time seismic dashboard using USGS API + Leaflet

🛠️ Skills

Programming: R (10+ yrs), Python (5+ yrs)

Data Science: Statistical Modeling, Machine Learning, Deep Learning, Time Series Forecasting

Visualization & Apps: Shiny (R/Python), Streamlit, Plotly, Leaflet, Quarto

Frameworks: caret, Tidymodels, scikit-learn, TensorFlow, PyTorch

⚙️ Tools

RStudio, VS Code, JupyterLab, Git/GitHub
SPSS, Stata, SAS, Power BI
Kobo Toolbox, ODK

🎓 Education

MSc in Statistics Addis Ababa University

  • Thesis: Petroleum oil price forecasting using GARCH

BSc in Statistics University of Gondar

📄 Publications

Predictors of Micronutrient Deficiency in Children (2024) Frontiers in Nutrition DOI: https://doi.org/10.3389/fnut.2023.1277048

🎓 Certifications & Training

  • Machine Learning Specialization – DeepLearning.AI / Stanford (2024)
  • Certified Instructor – The Carpentries (2024)
  • Data Science Specialization – Johns Hopkins University
  • Multiple R & Data Science Trainings (EPHI, NDMC, HDSS)

🌍 Languages

  • English (Proficient)
  • Amharic (Native)

🔎 Research Interests

  • Machine Learning & Deep Learning
  • Disease Modeling & Forecasting
  • Time Series Analysis