Hello, World.

I'm Alex Mirugwe.

Data Scientist Machine Learning | Deep Learning | Natural Language Processing

More About Me
About

Let me introduce myself.

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I'm a passionate data scientist with a strong background in developing and deploying AI-powered solutions. I have a deep love for data and enjoy solving complex problems using cutting-edge technologies. My journey in the field of data science has been an exciting and continuous learning experience.

Profile

I am a results-driven data scientist with a passion for leveraging advanced data analytics, machine learning, and deep learning techniques to revolutionize healthcare delivery. With 4 years of experience, I specialize in developing and implementing AI-powered solutions that drive meaningful insights and address societal challenges. From predictive models to image and text classification, and natural language processing algorithms, I have a proven track record of harnessing data-driven insights to improve health outcomes. My goal is to transform the healthcare landscape by enabling data-powered decision-making and optimizing patient care through innovative AI solutions.

  • Fullname: Alex Mirugwe
  • Job: Data Scientist
  • Email: mirugwealex@gmail.com

Skills

  • 90%
    Python
  • 95%
    R
  • 70%
    SQL
  • 60%
    PowerBI
  • 80%
    LATEX
  • 85%
    Scikit-Learn
  • 70%
    Tensorflow
  • 60%
    OpenCV
  • 70%
    Keras
  • 40%
    Hadoop
  • 50%
    MongoDB
Resume

More of my credentials.

Data scientist with 4 years of experience in advanced analytics and machine learning. Specializes in developing AI solutions for healthcare, driving improved outcomes. Passionate about revolutionizing healthcare delivery through data-driven decision-making.

Work Experience

Data Scientist

April 2022 - Present

Makerere University School of Public Health(METS-CDC Project)

  • Developed a machine learning model that predicts which HIV patients are likely to drop out of care and those who are likely not to be virologically suppressed. This has enabled the program to proactively intervene to ensure continuity of care and improve patient outcomes.
  • Designed, implemented, and deployed a deep learning-based algorithm to support cervical cancer screening activities. The algorithm has improved the accuracy and efficiency of screening, leading to early detection and treatment of cervical cancer in Uganda.
  • Developed a patient matching algorithm that was used to de-duplicate HIV patient-level data in CDC-supported facilities in Uganda, reducing the level of duplicates by 4.8%.
  • Provided statistical support to the surveillance team during the September 2022 Ebola outbreak in Uganda. My contributions helped in the timely identification and response to the outbreak.
  • Conducted sentiment analysis on Ebola social media data using deep learning techniques. The insights from this analysis provided a better understanding of public perception towards the outbreak, which informed the program’s risk communication strategy.

Assistant Lecturer

January 2022 - Present

Faculty of Science, Victoria University, Kampala

  • Teaching computer science courses such as Introduction to Python, Machine Learning, Deep Learning, and Artificial Intelligence
  • Developing course materials, designing assignments, and providing constructive feedback to students to foster a conducive learning environment
  • Contributed to the development of the Bachelor of Science in Software Engineering and Master’s of Science in Blockchain Technology curriculum to ensure its relevance and quality

Tutor

Jan, 2021 - Sept, 2021

Department of Computer Science, University of Cape Town

  • Facilitated and supervised laboratory sessions for undergraduate students on various machine learning topics, including linear and logistic regression, decision trees, and support vector machines
  • Prepared and delivered instructional materials and demonstrations to enhance students’ understanding and application of machine learning concepts
  • Provided guidance and support to students in completing projects and assignments
  • Collaborated with professors to develop course content and assessments

Education

Portfolio

Check Out Some of My Works.

Here are some of the projects I have worked on, which encompass various domains including machine learning, deep learning, computer vision, and natural language processing, with applications in the fields of healthcare and ecology.

Services

What Can I Do For You?

Publications

List of publications:

A. Mirugwe, J. Nyirenda, and E. Dufourq, “Automating bird detection based on webcam captured images using deep learning,” in Proceedings of 43rd Conference of the South African Insti, vol. 85, 2022, pp. 62–76 [Google Scholar]

A. Mirugwe, C. Ashaba, “Cervical Cancer Screening: Artificial Intelligence Algorithm For Automatic Diagnostic Support,” in Translational Medicine, vol. 13,Iss. 13, 2023, pp. 1-2 [ResearchGate]

A. Mirugwe, J. B. Kibanga, “Digital Outbreak Response System: A Research study on the use of the Go.Data tool for Ebola Outbreak Data Management in Uganda,” in American Journal of Preventive Medicine and Public Health, vol. 9,No. 5, 2023, pp. 01-06 [ResearchGate]

A. Mirugwe, “Adoption of Artificial Intelligence in the Ugandan Health Sector: a review of Literature,” [Preprint] [ResearchGate]

A. Mirugwe, “Restaurant tip prediction using linear regression,” in International Journalof Data Science and Big Data Analytics, vol. 1,Iss. 2, 2021, pp. 31-38 [ResearchGate]

Contact

I'd Love To Hear From You.

I love connecting with fellow data scientists, researchers, and enthusiasts. If you have any questions, ideas, or just want to say hello, feel free to reach out to me.

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Where to find me

Plot 20A Kawalya Kaggwa Close
Kololo Kampala
Uganda

Email Me At

mirugwealex@gmail.com
amirugwe@musph.ac.ug

Call Me At

Phone: (+256) 701 120534
Mobile: (+27) 73 706 2534