Yohana Alemseged

Data scientists with an educational background Data science and Bioinformatics , with over 4 years of hands-on experience in machine learning and implementing data science solutions. Yohana is adept at leveraging tools such as R, Python, Tableau, and Power BI, and she brings hands-on familiarity with SQL, Machine learning , Data Bricks, and web s4craping. Her collaborative approach, impactful research contributions, and innovative problem-solving skills establish her as an indispensable team member.

FDA, CBER, Silver Spring, Maryland Bioinformatician/ Data Scientist, June 2023 – Present

• Spearheaded the development, validation, and implementation of large language model (LLM) and ML-based approaches for chart abstraction from unstructured and structured healthcare data, leading to specify impact metrics, e.g., improved accuracy by 30% reduced abstraction time by 20%.
• Implemented appropriate analytic and statistical software to programmatically prepare and clean data for analysis, resulting in a 30% increase in efficiency and accuracy of data processing.
• Assisted in statistical analysis and Contributed to the development of study protocols and statistical analytical plans under the guidance of senior bioinformatics scientists.
• Stayed updated on new data science technologies and methods, advocating for the adoption of innovative practices while aligning with enterprise data strategy.

Georgetown University, Biomedical Graduate College, Washington, DC master’s degree in bioinformatics May 2022

Relevant Coursework: Bioinformatics, Bioinformatics computing,Bioinformatics algorithms, Machine learning, Next generation sequencing data analysis, Biomedical informatics.

MIT University, Certification Cambridge, MA Relevant Coursework: Python Foundations, Foundations for Data Science, Machine Learning, Data Analysis & Visualization, Deep Learning,