Jacob Ajak Makuach Abuol
Tecnología de la Información en Rwanda
Ruanda
¡Hola, soy Jacob Ajak Makuach Abuol!
Digital Transformation Officer en South Sudan National Revenue Authority
I am a Master’s student in Information Technology at Carnegie Mellon University Africa with a strong foundation in software engineering and applied machine learning. I help organizations unlock value from data by building predictive models, automating data pipelines, and deploying scalable AI-driven solutions. In my role as Digital Transformation Officer at the South Sudan National Revenue Authority, I contributed to the development of data-driven systems that improved efficiency and transparency in service delivery. My goal is to leverage my skills in machine learning, data science, and digital strategy to deliver actionable insights and innovative solutions that drive measurable impact in fintech, governance, and healthcare.
Redes sociales
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Experiencia
South Sudan National Revenue Authority
Digital Transformation Officer
January 2024 - May 2025
Designed and deployed data-driven digital systems that improved revenue collection efficiency and transparency, increasing reporting accuracy by 15%.
Built and automated analytics dashboards using Python, SQL, and Tableau, reducing reporting turnaround time by 40% and enabling faster evidence-based decisions.
Developed and implemented a data governance framework that enhanced institutional AI readiness, ensuring compliance with emerging digital standards.
Integrated machine learning models to detect anomalies in revenue data, reducing manual oversight time by 20% and improving fraud detection rates.
Developed predictive ML models (classification & regression) with scikit-learn, TensorFlow, and PyTorch, achieving up to 85% accuracy on real-world datasets.
Built ETL pipelines in Python and SQL to clean, transform, and consolidate datasets exceeding 5M+ records, reducing data preparation time by 30%.
Conducted exploratory data analysis (EDA) and created data visualizations using Pandas, NumPy, Matplotlib, and Seaborn, producing insights that guided project stakeholders.
Academic & Freelance
Software Engineering & Data Science Projects
September 2020 - August 2024
Developed full-stack web applications integrating databases, APIs, and modern front-end frameworks.
Applied machine learning models for predictive analysis and insights generation.
Conducted data analysis projects, including cleaning, visualization, and storytelling with Python and SQL.
Educación
Carnegie Mellon University Africa
Certificaciones y Distintivos
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Proyectos
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Idiomas
Árabe
Inglés
Habilidades
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