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Harriet Sibitenda

Researcher and Lecturer

Uganda Martyrs University

Kampala, Uganda

Other Type of Organisation

Harriet is a highly motivated researcher and aspiring data scientist with a strong passion for developing innovative AI solutions in real-world applications.

My organisation

Uganda Martyrs University (UMU) is a chartered, faith-based, not-for-profit private university in Uganda, established in 1993. UMU is recognized nationally and internationally for its commitment to excellence in teaching, research, and community engagement. The university fosters interdisciplinary scholarship with a strong emphasis on sustainable development, ethics, and innovation. UMU’s research initiatives span a wide range of fields, including computer science, artificial intelligence, data science, public policy, education, health systems, and the social sciences. The university actively collaborates with regional and international partners to apply cutting-edge research to real-world challenges, particularly in the areas of digital transformation, social impact, and inclusive development. Through its research centres and faculties, UMU provides an enabling environment for global partnerships, knowledge transfer, and training of the next generation of researchers. The university is committed to advancing the UN Sustainable Development Goals (SDGs) by integrating technology, ethics, and community-focused innovation into its academic and research programs.
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About me

I am Harriet, a highly motivated researcher and aspiring data scientist with a strong passion for developing innovative AI solutions to address real-world challenges. My work is driven by integrity, impact, and a commitment to advancing AI as a multidisciplinary field that integrates knowledge across computer science, data science, and applied domains. I aim to contribute to both academia and industry by developing robust, ethical, and scalable AI solutions that bridge theory with impactful real-world applications.

My career interests include: MLOps & DevOps for scalable AI systems, Data Exploration, Mining, and Advanced Analytics. Database Management Systems & Big Data Infrastructure, Social Network Analysis & Computational Social Science, Natural Language Processing (NLP) and Responsible AI.

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Skills

  • Programming with Python, R, Java
  • Machine Learning & AI: Tensorflow, Pytorch
  • Data Engineering & Databases: MySQL, NoSQL
  • MLOps & Deployment: Docker, CI/CD
  • Statistical Modeling, Data Visualisation

Interests

  • AI for societal Impact
  • Natural language processing
  • social network analysis
  • Responsible AI
  • Data mining

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