Melat Kebede

Last updated in December 2024 Melat Kebede + Addis Ababa, Ethiopia # -§ „ - ð MelatKebede MelatKebedeAbraham Personal Profile A dedicated researcher with a strong foundation in Machine Learning and data analysis, holding a Master’s in Computer Engineering. I am particularly interested in developing advanced predictive models and optimization techniques to address real-world challenges. I am eager to pursue a PhD to contribute to cutting-edge research in AI and expand my knowledge in areas like model interpretability and optimization. Education Maryland International College Oct 2022 – Dec 2024 MBA Degree in Business Administration ◦ GPA: 3.85/4.0 ◦ Thesis: The Effect of Predictive Analytics in Supply Chain Efficiency in Dairy Industry Addis Ababa University Oct 2021 – Jul 2024 MSc Degree in Computer Engineering ◦ GPA: 3.21/4.0 ◦ Thesis: Anomaly-Augmented Deep Learning for Adaptive Fraud Detection in mobile money transactions Adama Science and Technology University (ASTU) BSc Degree in Computer Science and Engineering ◦ GPA: 3.14/4.0 Oct 2015 – Dec 2020 Professional Experience Data Scientist Addis Ababa, Ethiopia Holland Dairy PLC Dec 2023 – Present ◦ Conducted data analysis to support decision-making processes across various departments, transforming the reporting process to deliver insights 40% faster. ◦ Developed and maintained Power BI dashboards using DAX for data visualization and reporting, automating repetitive tasks and cutting report preparation time by half. ◦ Created Power Apps for surveys and data collection, streamlining data entry to reduce errors by 30% and significantly improving data accessibility. Research Experience The Effect of Predictive Analytics in Supply Chain Efficiency in Dairy Jan 2023 – Dec 2024 Industry Maryland International College ◦ Conducted applied and explanatory research on supply chain performance, developing a predictive model to identify key factors influencing demand forecasting. ◦ Utilized qualitative data from interviews with company managers, who are key decision-makers, to enhance the understanding of supply chain dynamics and demonstrate how demand information can optimize production, inventory, and logistics operations. ◦ Combined data analysis with real-world application to improve supply chain efficiency and decision-making. Anomaly-Augmented Deep Learning for Adaptive Fraud Detection in Feb 2023 – Jul 2024 mobile money transactions Addis Ababa University ◦ Increased the accuracy of detecting unseen fraud patterns by 6% by integrating anomaly detection methods into the MLP model. Melat Kebede - Page 1 of 2 ◦ Developed a novel approach for separating the data using clustering techniques to ensure the identification of unseen patterns. ◦ Introduced an innovative way to combine MLP with autoencoders by applying feature augmentation of the autoencoder output into the MLP model, enhancing fraud detection capabilities. Awards AAU Female Scholarship Addis Ababa University Addis Ababa, Ethiopia Oct 2021 ◦ Awarded a prestigious and highly competitive scholarship to pursue a Master’s Degree in Computer Engineering. ◦ Provided full tuition coverage and a research grant, supporting academic and research excellence. Skills Summary Languages: Python, SQL, Java Frameworks: Pandas, Matplotlib, Numpy, Scikit-Learn, TensorFlow Tools: MySQL, Power BI, Excel, PowerPoint, Tableau Platforms: Jupyter Notebook, PyCharm, Visual Studio Code, Azure, AWS Soft Skills: Excellent Communication, Problem-solving, Time management, Team collaboration Certifications Microsoft Certified: Azure Data Fundamentals Microsoft Certified: Azure Data Engineer Associate Melat Kebede - Page 2 of 2 Apr 2023 Jul 2023