Doris Mugah

Master of Science in Artificial Intelligence

2025 - 2027

The Open University of Kenya, KE

The program offers an in-depth curriculum combining advanced artificial intelligence concepts with practical applications. I have developed expertise in machine learning, deep learning, data analytics, and AI-driven problem solving. This rigorous training equips me to design, implement, and deploy AI models and solutions across diverse real-world domains, including agriculture, healthcare, finance, and climate. The program has strengthened my ability to leverage data and intelligent algorithms to address complex challenges and innovate within technology-driven fields.

Bachelor of Science in Mathematics & Computer Science

2012 - 2017

Taita Taveta University, KE

The Bachelor of Science in Mathematics and Computer Science at Jomo Kenyatta University of Agriculture and Technology (JKUAT) provided a comprehensive curriculum that integrated mathematical theory with practical computing skills. Students gained expertise in areas such as programming, data analysis, algorithms, and mathematical modeling, equipping them with the knowledge to solve real-world problems. The program offered a strong foundation for careers in software development, data science, research, and other technology-driven fields

Full Stack Data Science & Machine Learning

2024 - 2025

Regenesys Business School, SA

The Full Stack Data Science and Machine Learning course at Regenesys provided a robust learning experience that equipped students with essential skills in data analysis, machine learning, and advanced analytics. The course covered a wide range of topics, including data preprocessing, model building, and deploying machine learning models, offering practical experience with tools like Python, R, and various machine learning frameworks. It was designed to prepare individuals for careers in data science and machine learning, enabling them to apply these skills to solve complex business problems and drive data-driven decision-making

AI Programming with Python

2024 - 2025

Udacity -AWS

"Skilled AI programmer with expertise in Python, specializing in building and deploying machine learning and deep learning models. Proficient in using libraries like TensorFlow, Keras, and Scikit-learn to tackle complex tasks such as classification, regression, and natural language processing. Experienced in data preprocessing, model evaluation, and integrating AI solutions into real-world applications, with a strong commitment to continuous learning and staying at the forefront of AI advancements."

Generative AI

2024 - 2025

Udacity -Bertelsmann

""Proficient in Generative AI, specializing in designing and deploying advanced models such as GANs, VAEs, and transformers to generate creative and innovative outputs. Skilled in leveraging AI for real-world applications, including content creation, automation, and personalization. Passionate about driving innovation through cutting-edge AI technologies and staying updated with the latest advancements in the field."

Digital Corps

2019 - Present

Equity Group Foundation - Equity Bank, Kenya

• Built and maintained robust data pipelines to support business intelligence and reporting needs.
• Conducted complex data analysis and statistical modeling to identify trends and provide actionable insights for strategic decision-making for business.
• Developed and deployed machine learning models to improve customer targeting and operational efficiency.
• Analyzed large datasets to drive business outcomes, including optimizing digital marketing strategies and enhancing program impact assessments.
• Facilitated training and mentorship programs for youth, focusing on data-driven decisionmaking and technology adoption.
• Collaborated with cross-functional teams to refine data collection methods, ensuring data integrity and accuracy.
• Contributed to the success of the Health Entrepreneurship Program (HEP) through data analysis and program evaluation in partnersh

Data Analyst

Oct 2024 - Dec 2024

United Nations Volunteers

• Data Analysis: Conducted in-depth analysis of program and operational data to support decision-making and strategic planning.
• Visualization & Reporting: Designed clear and impactful visualizations, dashboards, and reports to communicate key findings to stakeholders.
• Monitoring & Evaluation: Supported project teams in monitoring progress toward Sustainable Development Goals (SDGs) through data-driven insights.
• Collaboration: Partnered with diverse teams across sectors to standardize data collection processes and ensure quality control.
• Technical Expertise: Leveraged advanced analytics tools to generate actionable insights.
• Results-Oriented: Enhanced organizational efficiency by identifying trends and opportunities for improvement through data.
• Capacity Building: Empowered teams with training in data analysis, ensuring sustainable knowledge transfer and improved workflows..

Chief Technology Officer

Jan 2018 - Dec 2019

Great Fortunes Properties

• Technology Leadership: Directed the strategic implementation of technology to enhance operational efficiency and business scalability.
• Data-Driven Decision-Making: Established data pipelines and analytics frameworks to derive actionable insights for informed business strategies.
• Digital Transformation: Spearheaded the adoption of innovative digital solutions to optimize real estate operations and customer engagement.
• Data Science Integration: Leveraged predictive analytics and machine learning models to assess market trends, improve property valuations, and forecast customer demand.
• Team Management: Led cross-functional technical teams, fostering collaboration and delivering high-impact projects on time.
• Product Development: Oversaw the design and development of digital platforms to streamline property management and transactions.
• Emerging Technologies: Utilized advanced technologies such as AI and cloud computing to maintain a competitive edge in the real estate industry.
• Business Alignment: Ensured technology strategies and data solutions were aligned with the company’s goals to drive growth and customer satisfaction.
• Stakeholder Collaboration: Worked closely with stakeholders to translate business needs into scalable technical and data-driven solutions.