Resume

๐Ÿ‘ค Leykun Getaneh

Data Scientist | Senior Statistician | Data Analyst

๐Ÿ“ Addis Ababa, Ethiopia
๐Ÿ“ง leyk.get@gmail.com
๐Ÿ”— GitHub | Website | LinkedIn

๐Ÿง  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 forecasting, and public health decision support systems.

๐Ÿ’ผ Experience

Data Scientist

National Data Management and Analytics Center (NDMC), EPHI Jan 2025 โ€“ 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 โ€“ Dec 2024

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

๐Ÿ”ฌ Projects

Malaria Forecasting Dashboard

  • Built interactive forecasting system using Shiny
  • Supports woreda โ†’ 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

๐Ÿ› ๏ธ 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

โš™๏ธ Tools

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

๐ŸŽ“ Education

MSc in Statistics Addis Ababa University

  • Thesis: Petroleum oil price forecasting using GARCH

BSc in Statistics University of Gondar

๐Ÿ“„ Publications

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

๐ŸŽ“ Certifications & Training

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

๐ŸŒ Languages

  • English (Proficient)
  • Amharic (Native)

๐Ÿ”Ž Research Interests

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