Clyde Otieno

Dedicated and highly motivated AI/ML data scientist specializing in advanced mathematical modeling, quantitative analysis, and the application of computational frameworks. Demonstrated expertise in developing and implementing sophisticated machine learning algorithms and statistical techniques to analyze complex datasets and derive actionable insights. Proficient in translating complex data patterns into strategic recommendations that optimize business processes and support data-driven decision-making.

System Integrations - Walnut Office Solutions - Nairobi, Kenya

(2023-01)

• Design, develop, and implement integration solutions between various software applications, databases, and cloud platforms
• Create, manage, and optimize APIs for seamless data exchange between systems
• Extract, transform, and load (ETL) data across different platforms while ensuring data integrity
• Identify and resolve integration issues to maintain system performance and reliability
• Develop automation scripts (e.g., PowerShell, Python) to streamline integration processes

ML Engineer - Prime Place - Nairobi, Kenya

(2021-01 - 2023-12)

• Drive the design and implementation of machine learning models, including recommender systems and generative models, to optimize customer engagement and product personalization on the platform
• Oversee the deployment of machine learning models on cloud-based platforms (AWS, Google Cloud) using containerization tools like Docker and Kubernetes, ensuring scalability, high availability, and low-latency real-time performance
• Lead the design and automation of robust data pipelines using Apache Airflow for data ingestion, preprocessing, and feature engineering, enabling continuous model training and updates
• Collaborate with the marketing, product development, and sales teams to integrate data-driven insights and machine learning models into business processes, optimizing strategies for product recommendation, pricing, and customer engagement
• Manage the ongoing monitoring and optimization of deployed models using performance metrics, implementing retraining strategies and hyperparameter tuning to maintain model accuracy and efficiency
• Provide data-driven insights and technical recommendations to senior management and key stakeholders through detailed reporting and visualization, influencing business decisions and strategic planning
• Influence the product roadmap by identifying emerging data trends and opportunities to implement advanced analytics and AI solutions that enhance ArtMall Afrika's market positioning and customer experience
• Lead and mentor a team of data scientists and analysts, overseeing the development and deployment of machine learning models, ensuring alignment with ArtMall Afrika's business goals, and fostering a data-driven culture within the organization
• Successfully launched GAN-Based Art Generation System: Fine-tuned a generative adversarial network (GAN) model, leveraging transfer learning to generate high-quality, visually coherent artwork in specific styles, which was commercially adopted by ArtMall Africa and contributed to a new revenue stream for AI-generated art products
• Deployed Personalized Recommender System: Engineered a hybrid recommender system combining collaborative filtering and content-based methods, which led to a 25% increase in customer engagement and conversion rates through personalized product recommendations
• Enhanced Operational Efficiency via Cloud Integration: Led the successful migration of data infrastructure to AWS, reducing data processing latency by 40% and optimizing real-time recommendation performance across the platform
• Optimized Data-Driven Marketing Campaigns: Developed a customer segmentation model, enhancing targeted marketing efforts and leading to a 30% boost in sales for custom products by identifying key customer segments and their purchasing behaviors
• Implemented Dynamic Pricing Models: Deployed machine learning-driven dynamic pricing strategies that increased profit margins by 15% in key product categories through predictive analytics
• Automated Data Workflows: Streamlined ETL processes using Apache Airflow, reducing manual labor by 50%, increasing data pipeline reliability, and ensuring timely data availability for model retraining and business insights
• Cultivated a Data-Driven Culture: Mentored junior team members and introduced best practices in model development and deployment, resulting in a more efficient and collaborative team environment, driving continuous innovation and performance improvements

Road Construction - Kings Construction - Nairobi, Kenya

(2018-01 - 2020-12)

• Performed deep trenching, structural bedding and installation of reinforced concrete box/pipe culverts and side drains to ensure storm water management
• Executed earthworks, soil stabilization and aggregate base compaction to deliver load bearing foundations for primary road corridors
• Managed sub-base compaction, sand bedding layers, and precision placement of heavy duty cabro paving blocks for urban road walkways, junctions and parking bays
• Assisted paving teams with bitumen tack coat application, asphalt raking, and joint sealing during major road resurfacing works
• Constructed timber/steel formwork, tied rebar cages and poured concrete for road kerbs, retaining walls and drainage headwalls