Master of Science | Health Metrics Science Sep 2022 – Aug 2023
Seattle, WA, United States
Completed Courses: Applied Biostatistics I & II, Machine Learning for Public Health Data, Epidemiology I & II, Data wrangling for Health Metrics, Visualizing data, Surveillance System, Bayesian stat for SS, GBD Methods Results..etc.
Master of Science | Computational Data Science Sep 2021 – Current (Remote)
Addis Ababa, Addis Ababa, Ethiopia
Completed Courses: Applied Machine Learning, Research Method, Parallel Programming, Numerical Solutions of Differential Equations, Introduction to Computational Science and Basics of Computer Programming, Probability and Statistics for Data Science, Introduction to Data Science and Data Management and Mathematical and Numerical Methods, etc.
Bachelor of Science | Applied Statistics Sep 2016 – Sep 2019
Woldia, Amhara, Ethiopia
Completed Courses: Probability Theory and Statistical Methods, Statistical Computing I II, Statistical Quality Control, Calculus (part I and II), Algebra I II, Numerical Method for Statistics, Fundamentals of Programming, Database Systems, etc.
Bachelor of Arts | Accounting and Finance Sep 2017 – Sep 2021
Addis Ababa, Addis Ababad, Ethiopia
Completed Courses: Financial Accounting I & II, Intermediate Accounting I & II, Business Statistics, Auditing Principles, Accounting Information Systems, Strategic Financial Management, Principles of Microeconomics and Macroeconomics, Risk Management and Econometrics for Finance, Quantitative Methods for Business, Financial Reporting and Analysis, etc.
Institute for Health Matrices and Evaluation (IHME)
GBD Collaborator - In request Augest 2023 – Current
Seattle, WA, USA
●Reviewed and provided expert recommendations on clinical and non-clinical research methodologies, ensuring the robustness and validity of analytical approaches in GBD studies.
●Evaluated data visualization techniques, improving the clarity and accessibility of complex health data for diverse and non-technical audience.
Research Assistant | Data analyst Oct 2022 – Aug 2023
Seattle, WA, USA
Analyzed and Standardized large-scale datasets (Healthcare, in and out patient, Health claims data and survey) (i.e., extracting, formatting, standardize, , review, gap identification, error correction, data mining, data verification, and data management, transforming data from multiple sources, including literature, surveys, event - claims ) for seamless integration into the Cause of Death Ensemble Modeling (CODeM) algorithm/pipeline, and databases ensuring high data accuracy and efficiency.
Produced detailed data documentation, insightfull Dashbords, and authored research reports, contributing to evidence-based publications and key findings.
Designed and implemented quantitative and statistical methods to analyze such as profiling data modeling health metrics, identifying discrepancies in malaria and analyzing trends using R, and visualize in shiny-app and driving data-driven insights.
Ethiopian Public Health Institute (EPHI)
Research Data Specialist | Data Scientist Dec 2019 – Oct 2022
Addis Ababa, Addis Ababa, Ethiopia
Led the management and quality assurance of health datasets, ensuring data integrity and accuracy, including overseeing COVID-19 data monitoring and reporting efforts for health initiatives.
Developed child health, covid-19, mortality, and fertility estimates that directly informed interventions for policymakers at the Ministry of Health (MOH) using Python, R, SQL, and Stata.
Led a sub-team with project on the estimation of noncommunicable diseases (NCDs), provide 5+ evidence briefs that contributed to improvements in regional intervention.
Created a Python module for Importance Weight Adjustment , refactoring Stata code to improve the adjustment of survey parameters.
Designed and developed the PYEHEALTH automated data pipeline with team for data cleaning, analysis, and visualization using Python and Streamlit app.
Integrated large datasets to local server and database (i.e. Research Tracking Data System(RTDS)) to enhance data-driven decision-making and optimize health reporting systems.
Languages: Python, MATLAB, C++, Java, R, Fortran, HTML, CSS, JS
Machine Learning: SVM, Decision Trees, XGBoost, CNN, LSTM, RandomForest
Data Science Tools: KNIME, RapidMiner, Apache Spark
Big Data Technologies: OpenMP
Data Analytics: Regression, Dimensionality Reduction, Feature Engineering
Data Visualization Tools: Tableau, Power BI, QlikView, Shiny App, Streamlit
Statistical Software: SPSS, Stata, MS Excel, MS Access
Deep Learning Techniques: Convolutional Neural Networks (CNN), Autoencoders, RNN, Transfer Learning, Large Language Model,
Numerical Methods & Simulation: Finite Difference Method, Runge-Kutta, Finite Element Method, Infectious Disease Modeling
Mathematical Modeling: Reduced Order Modelling, Neural Networks, NLP, ST-GPR, MR-Bert.
Cloud Computing & Tools: AWS, Docker, Hadoop, Azure, terraform, Ias,
Version Control: GitHub, Gitlab
Operating System Environments: Windows, Linux, mac
Technical Writing: Microsoft Office Suite, LaTex, MS Word, Powerpoint