Resume

Leykun Getaneh Gebeye

Personal Information

Sex: Male | Date of Birth: 17/06/1988 | Place of Birth: Woldia | Nationality: Ethiopian

Professional Summary

Senior Statistician, Data Scientist, and Data Analyst with over 7 years of experience at Wollo University. Proficient in data analysis using R and Python, with expertise in statistical techniques, machine learning, data visualization, and big data analysis.

Work Experience

Lecturer/Researcher, Statistics Wollo University, Dessie, Ethiopia September 2016 – Present

  • Training (Preparing and delivering statistical software), workshops, and seminars
  • Teaching and Learning
  • Advising and supervising
  • Participating in research and community service activities
  • Research Coordinator in the Department of Statistics at Wollo University

Lecturer, Statistics Aksum University, Axum, Ethiopia February 2013 - August 2016

Education

MSc in Statistics Thesis title: “Forecasting of petroleum oil import prices by GARCH models: The case of Ethiopia” School of Graduate Studies, Department of Statistics, Addis Ababa University, Addis Ababa, Ethiopia September 2010 – January 2013

BSc in Statistics Department of Statistics, University of Gondar, Gondar, Ethiopia Sep 2006 to July 2008

Research Interests

  • Machine Learning
  • Time Series Analysis
  • Big Data Analysis
  • Disease prediction
  • Survival Analysis
  • Joint modelling
  • Nutrition

Publications | Research

  • Gebeye LG, Dessie EY and Yimam JA (2024). Predictors of micronutrient deficiency among children aged 6–23 months in Ethiopia: a machine learning approach. Front. Nutr. 10:1277048. doi: 10.3389/fnut.2023.1277048. Link to publication

  • Getaneh, Leykun (2012). Forecasting of Petroleum Oil Import Prices by GARCH Models: The Case of Ethiopia. Addis Ababa university. Link

Certifications and Training Experience

  • Aug 19 - Sep 20, 2024 Advanced Learning Algorithms from DeepLearning.AI & Stanford University on Coursera. View my certificate

  • July 26 - Sep 01, 2024 Data Analysis Fundamentals from Udacity. View my certificate

  • May 31 - June 01, 2024 - Delivered a Data Carpentry Workshop training using spreadsheet, OpenRefine, and R software at Wollo University, Dessie, Ethiopia.Link

  • April 23, 2024: Certified Instructor, The Carpentries - Teaches foundational data science and computational skills to researchers worldwide.

  • May 15 – 19, 2023: Big data analytics for agribusiness and environment using Python from EUDIF project

  • May 06 – 13, 2023: Casual inference from observational data using R, Ethiopian Statistical Association

  • March 27 – Apr 01, 2023: Digital Data Visualization using Power BI, Ethiopian Statistical Association

  • March 21 – 25, 2023: Digital Data Collection using Kobo Toolbox, Ethiopian Statistical Association

  • March 16 – 22, 2023: Introduction to python programming from EUDIF project

  • July 28 – Nov 2, 2022: Supervised Machine Learning: Regression and Classification from DeepLearning.AI & Stanford University on Coursera. View certificate

  • Oct 27, 2019 – July 20, 2022: Data Science Specialization from Johns Hopkins University on Coursera. Certificate earned on July 20, 2022. View certificate

  • June 7, 2020 – July 20, 2022: Data Science: Statistics and Machine Learning Specialization from Johns Hopkins University on Coursera. Certificate earned on July 20, 2022. View certificate

  • March 30 – April 5, 2021: Trainer for “Data Management and Statistical Analysis using R and SPSS”. Provided community service training to High School and Agriculture College teachers in Haik and Kombolcha town, organized by the Research and Publication Directorate office. Covered the fundamentals of data management and statistical analysis using R and SPSS.

  • June 2, 2021: Practical Machine Learning from Johns Hopkins University on Coursera. View certificate

  • July 26, 2020: Applied Machine Learning in Python from University of Michigan on Coursera. View certificate

  • June 21, 2020: Python for Data Science, AI & Development from IBM on Coursera. View certificate

  • May 16, 2020: Applied Plotting, Charting & Data Representation in Python from University of Michigan on Coursera. View certificate

  • April 22, 2020: Data Science: Foundations using R from Johns Hopkins University on Coursera. View certificate

  • December 6, 2019: R Programming from Johns Hopkins University on Coursera. View certificate

  • October 26, 2019: Introduction to Data Science in Python from University of Michigan on Coursera. View certificate

  • September 3 – 6, 2019: Trainer for “Introduction to R and RStudio Basics”. Conducted training sessions for academic staff members of the School of Veterinary Medicine at Wollo University, organized by the Research and Publication Directorate office. Covered the fundamentals of R programming language and RStudio software.

  • August 13 – 16, 2019: Trainer for “Introduction to R and RStudio Basics”. Delivered training to academic staff members of the college of Agriculture at Wollo University, organized by the Research and Publication Directorate office. Covered the fundamentals of R programming language and RStudio software.

  • September 3 – 7, 2018: Data analysis and software skill training on data organization in spread sheet, data cleaning in OpenRefine, data analysis and visualization in R and RStudio run by data and software carpentry.

  • November 25 – December 06, 2017: Trainer for “R statistical computing software for academic staffs of College of Medicine & Health Sciences”. Conducted training sessions for the staff of the College of Medicine and Health Science at Wollo University. The training was organized by the College of Medicine and Health Science in collaboration with Amhara Regional Health Bureau and CDC from November 25, 2017 – December 06, 2017 at Wollo University. The training covered the fundamentals of the R programming language with applications in health science and medicine.

  • September, 2013 – June, 2014: The Higher Diploma For Teacher Educator

Personal Skills

  • Mother tongue(s): Amharic
  • Other language(s): English (C2-Proficient user)
  • Communication skills: Good communication skills developed through experience as a lecturer.
  • Job-related skills: Good problem-solving skill developed by interaction with colleagues and students in institution
  • Computer skills:
    • Presentation: Microsoft PowerPoint
    • Spread sheet: Microsoft Excel
    • Word Processing: Microsoft Word

Statistical Computing skills

  • Software Proficiencies: R, Python, STATA, SPSS, SAS
  • Data Collection Tools: ODK, Kobo Toolbox
  • Machine Learning and Predictive Modelling: caret, Tidymodels, scikit-learn, and TensorFlow
  • Data Visualization and Interactive Web Apps: ggplot, matplotlib, seaborn, R Shiny, Python Shiny, Power BI

Technical skills and ability

  • Quantitative and Qualitative Data Analysis: Leveraging statistical techniques, formulas, and calculations using R and Python to derive meaningful insights.
  • Data Collection Pipelines: Experience with Open Data Kit (ODK) and Kobo Toolbox.
  • Statistical Analysis: Proficient in statistics and packages including Microsoft Excel, STATA, SPSS, SAS, R, Python, and EViews for comprehensive dataset analysis.
  • Pattern and Trend Analysis: Using advanced statistical tools to identify, analyze, and interpret patterns and trends in complex data sets, aiding in diagnostics and predictions.
  • Data Cleaning and Visualization: Utilizing R and Python for comprehensive data cleaning, analysis, and visualization.
  • Machine Learning Predictive Models: Developing robust predictive models using both R and Python.
  • Data Visualization: Creating static and interactive maps, dashboards, and visualizations using Leaflet, Shiny, Matplotlib, Seaborn, Plotly, and ggplot2.
  • Interactive Web Applications: Building dynamic applications for visualization and analysis with R Shiny and Python Shiny.
  • Power BI Expertise: Designing and creating insightful dashboards and reports for effective business intelligence.
  • Dynamic Reporting: Crafting and publishing interactive, reproducible documents, dashboards, and websites with Quarto.
  • Project Management: Efficiently managing data science projects using GitHub for version control and collaboration.
  • Statistical Software Training: Providing training on statistical software such as SPSS and R, covering various topics.

Additional Information

  • Memberships: Ethiopian Statistical Association (ESA)

References

  1. Kassu Mehari Beyene (Ph.D.), Department of Statistics, Wollo University, Dessie, Ethiopia.
    • Phone (Mob.): +251910040499
    • Email: kassu.mehari@wu.du.et | m2kassu@gmail.com
  2. Eskezeia Y. Dessie (Ph.D.), Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati, College of Medicine, Cincinnati, OH, United States.
    • Phone: +15137201937
    • Email: eskezeia.dessie@cchmc.org
  3. Jemal Ayalew Yimam (Ph.D.), Department of Statistics, Wollo University, Dessie, Ethiopia.
    • Phone: +251920488641
    • Email: jemal4446@yahoo.com