Samiiha Nalwooga Williams

- Samiiha Nalwooga Williams - Skills and Experience Certified Scrum Master and Agile Ambassador with over 7 years of experience in IT services, specializing in Data Analytics, Machine Learning, Deep Learning, and Agile Project Management. Experience with Data Analysis, AI research, Deep Learning fundamentals, and (Agile) Project Management, Design Thinking, Deep Learning, Descriptive Statistics and Inferential statistics, and Medical Device Management. ● ● ● ● Data Visualization & Analysis Machine Learning & Deep Learning Quantitative Analysis Medical Device Management Skills include ● ● ● ● Agile Project Management SCRUM Project Management (Kanban) Programming (Python) Experience African Technology Innovation Hubs Initiatives (AfriLabs) Artificial Intelligence (AI) Startup Mapping Research Consultant ● ● ● Lead Data Analyst ● ● Abuja, Nigeria Nov 2023 – Jul 2024 Abuja, Nigeria Analyzed AI ethical policy impacts on African innovators, providing actionable insights to inform policy and AI strategies. Performed data cleansing for precise analysis thus improving overall data quality and reliability for subsequent AI-focused studies. Facilitated data collection through focus group discussions, key informant interviews, surveys, and secondary research, thereby enhancing the AI studies with diverse and relevant insights. Makerere Artificial Intelligence Lab College of Computing and Information Sciences, Makerere University Gates GPT Project Project Lead | Research Scientist ● Jul 2024 – Present Developed and manages AI mapping dashboarding of AI startups in all of Africa to visualize AI impact on African innovators Leverages analytical tools by creating visualizations in Power BI and Python to make complex data accessible to diverse audiences to interpret trends and extract key insights on AI startups and the impact of AI ethics, driving evidence-based recommendations. Prepares and delivers comprehensive reports that synthesize findings, insights, and data-driven recommendations, thereby guiding stakeholders’ decision-making processes. Artificial Intelligence (AI) Ethical Policy Studies ● Nov 2023 – Present Feb 2023 – Sep 2023 Jul 2023 – Sep 2023 Kampala, Uganda Developed analysis aimed at conveying ChatGPT implementation for Cross-Lingual localized and targeted agricultural advisory units for smallholder farmers in Sub-Saharan Africa. - ● ● ● ● Samiiha Nalwooga Williams Planned, coordinated, and executed project activities, swiftly addressing team challenges to maintain momentum and meet objectives. Collaborated with management to develop project plans, budgets, and schedules, ensuring efficient operations and on-time delivery. Created targeted prompts through diverse prompting techniques, ensuring ChatGPT outputs adhered to specific agricultural guidelines and restrictions. Trained team members and stakeholders in optimal prompt engineering strategies, enhancing overall effectiveness and consistency in project outcomes. Machine Learning Engineer ● ● ● Go Digital Kenya IT Project Lead | Scrum Master ● Kampala, Uganda Nov 2021 – Dec 2022 Jul 2022 – Dec 2022 Ingelheim, Germany Oversaw the Go Digital Kenya Project, a CSR initiative under Boehringer Ingelheim’s Making More Health, by applying Agile (Scrum) methodologies and Jira for project coordination and execution. Guided the team in developing and implementing training plans for participants and volunteers, ensuring digital skills were delivered to MMH communities in Kenya and meeting core project objectives. The BI Drone Initiative Project Manager ● Feb 2023 – Sep 2023 Led the Development of an AI-powered platform for integrating and screening diseases of national priority, including cervical and breast cancer, along with an AI data solutions platform. Implemented and fine-tuned Machine Learning algorithms, including Convolutional Neural Networks (CNNs), for medical image classification to accurately identify cervical image samples as normal or abnormal. Trained and optimized models using labeled data, with hyperparameter tuning and architecture adjustments, achieving high accuracy. Designed validation strategies, such as cross-validation and holdout sets, to evaluate model performance on unseen data. Documented code, processes, and methodologies to ensure transparency, reproducibility, and effective knowledge sharing within the team. Boehringer Ingelheim | Afrika Kommt Fellowship ● - Jan 2022 – Jul 2022 Ingelheim, Germany Oversaw a pilot drone-delivery program under Boehringer Ingelheim’s IT IMETA arm, ensuring leadership make informed decisions through data from panel discussions. By coordinating objectives from an IT standpoint, we enabled timely, effective medical supply deliveries to remote areas. Employed empathy mapping and design thinking to align solutions with local needs and led pharmacist education campaigns thus boosting acceptance and adoption of drone-based logistics. - Samiiha Nalwooga Williams Global Demand Management and Onboarding Platforms Platform Developer ● ● - Nov 2021 – Jan 2022 Ingelheim, Germany Developed the Global Demand Management platform, standardizing IT RDM Clinical demands and improving transparency, demand quality, and a harmonized decision-making process: this streamlined stakeholder communication, expedited resource allocation, and enhanced clinical project delivery. Managed and facilitated the launch of the Onboarding platform for the One Medicine platform, outlining a stepby-step vendor onboarding procedure and centralizing external employee metadata in one place. This minimized administrative overhead, ensured a consistent onboarding approach, and fostered greater team collaboration. Makerere Artificial Intelligence Lab Jan 2018 – Aug 2019 Mcrops Project Lead Data Analyst | Scrum Master Jan 2019 – Aug 2019 College of Computing and Information Sciences, Makerere University ● ● ● Oversaw Uganda's AI-driven cassava farming initiative using Scrum (daily standups, two-week sprints). Leveraged data analysis and supervised machine learning to assess disease spread, informing the Mcrops app development. Utilized GeoPandas to map cassava diseases thus enabling Uganda’s agricultural authorities to shape more effective policies. NextGen Cassava Project Machine Learning Engineer ● ● ● Kampala, Uganda Jan 2018 – Jan 2019 Kampala, Uganda Contributed to the NextGen Cassava Project, which enhances breeding cycles through advanced imaging technologies and phenotyping pipelines, by collecting cassava root images using ODK applications to train and refine image segmentation models, driving data-driven advancements in cassava research. Developed Open CV (Computer Vision) based algorithms to analyze cassava root necrosis. Designed the user interface of the Necrosis mobile app using Android C, enabling field researchers to assess and record disease spread effectively. Education Stockholm University Masters in Computer and Systems Sciences Makerere University Kampala Bachelor of Science in Biomedical Engineering Sep 2019 – Apr 2022 Stockholm, Sweden Aug 2013 – Jan 2018 Kampala, Uganda