Highly skilled and motivated Data Scientist with a strong background in Data Science, Data analytics, Artificial intelligence, Machine Learning, Deep learning, and Computer vision. Possessing a Bachelor’s degree in Infor…
Highly skilled and motivated Data Scientist with a strong background in Data Science, Data analytics, Artificial intelligence, Machine Learning, Deep learning, and Computer vision. Possessing a Bachelor’s degree in Information Science and a Master’s degree in Data Science and Analytics from the University of Gondar, Ethiopia. Proficient in a diverse range of programming languages, including Python, Java, R, C, C++, C, PHP, HTML, node.js, express, and vb.net. Experienced in data analysis and visualization using tools such as Power BI, Tableau, and Python, with expertise in machine learning and deep learning algorithms. Proven track record of conducting research and publishing papers on topics including predictive modeling, healthcare analytics, object detection, image segmentation, and natural language processing. Adept at collaborating with interdisciplinary teams to solve complex problems and drive data-driven decision-making processes. Passionate about leveraging technology and data-driven approaches to address real-world challenges in healthcare, agriculture, neuroscience, and business.
As a dedicated faculty member at the University of Gondar, my primary responsibility revolves around equipping BSc degree students in Information Science with the knowledge and skills they need to thrive in their chosen field. Through engaging lectures, interactive discussions, and hands-on activities, I strive to impart a comprehensive understanding of Information Science concepts, methodologies, and applications.
Beyond the classroom, I am deeply involved in research endeavors aimed at addressing pressing societal challenges, particularly in the realms of healthcare and agriculture. Collaborating with interdisciplinary teams, I contribute to innovative projects that seek to leverage data science techniques to tackle issues such as disease prevention, agricultural productivity, and resource optimization. This involves conducting rigorous research, collecting and analyzing large-scale datasets, and developing practical solutions that can have a tangible impact on communities.
Furthermore, I play a pivotal role in facilitating community service initiatives that aim to address local needs and improve quality of life. Whether it's organizing health awareness campaigns, conducting workshops on sustainable agricultural practices, or providing technical assistance to local stakeholders, I am committed to leveraging my expertise to serve the broader community.
As a data science researcher and lecturer, a significant portion of my work involves preparing healthcare datasets for analysis and dissemination. This entails collaborating closely with healthcare professionals to ensure the accuracy, completeness, and relevance of the data. I am responsible for cleaning, annotating, and labeling datasets, as well as developing protocols for data sharing and privacy protection. By making these datasets available to other researchers and practitioners, I contribute to the advancement of knowledge and the improvement of healthcare outcomes.
In addition to my research and teaching responsibilities, I also serve as a mentor and advisor to aspiring researchers in the field of data science. Guiding them through the research process, offering constructive feedback, and providing support and encouragement, I aim to nurture the next generation of innovators who will drive positive change in healthcare, agriculture, and beyond.
Overall, my role at the University of Gondar encompasses teaching, research, and community engagement, all with the overarching goal of fostering academ
Develop a close price data analysis by taking the sesame, soybeans, coffee, chickpea, mung bean, and haricot bean Ethiopian commodity exchange datasets.
Identify the most determinant factors that make the variations of the closing price for each commodity at different times.
Develop health data analysis and predictive model for various chronic diseases.
Develop an infant and neonatal mortality predictive model using various machine learning algorithms using historical health datasets and achieve 96.5% using random forest.
Developing anemia level prediction model for pregnant women and achieving 97% accuracy using random forest and cat boost classifier.
Led multiple research projects, applying machine learning to predict patient.
Integrated Explainable Artificial Intelligence (XAI) approaches like Shap and LIME to trust the result.
Teaching courses for BSc degree students in the College of Informatics, Department of Information Science.
I have taught various programming courses like Object-oriented programming (Java), Fundamental Programming I & II (C++), Data Structure and Algorithm, Fundamental Database (SQL), Advanced database (Oracle), Data communication and networking, and visual programming (vb.net)
I have participated in research, community services, and technology transfer projects.
He has also participated in different committee members, and coordinators for the College of Informatics like curriculum revision, workshop preparation, and seminar presentation
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