Wilson Gitonga Email & Phone Number

Nairobi County, Kenya

• Roles and Responsibilities:
• Enhanced decision-making processes by developing interactive dashboards in Tableau and Power BI, which improved data accessibility for 50+ stakeholders, leading to a 30% increase in data-driven decisions.
• Improved data quality by 40% through rigorous data cleaning and preprocessing, ensuring accuracy and reliability of datasets used for analysis and model training.
• Analyzed large datasets using Python, Pandas, and SQL to identify key trends and patterns, contributing to a 20% increase in operational efficiency by optimizing data-driven strategies.
• Trained and fine-tuned predictive models using Scikit-learn and TensorFlow, achieving a model accuracy improvement of 15%, which significantly enhanced forecasting capabilities.
• Developed and executed optimized SQL queries, reducing data retrieval times by 25%, thus streamlining integration processes with other applications and improving overall workflow efficiency.Achievements:

Kenya

• Roles and Responsibilities:
• Managing project budgets and tracking expenditures while preparing financial reports for submission to donors, ensuring financial transparency and accountability.
• Leading the implementation of a comprehensive HIV Prevention project, focusing on community engagement and education in Machakos and Kitui counties.
• Collaborating with local stakeholders to develop and oversee project activities for the USAID Jamii Tekelezi Project, aligning efforts with USAID objectives and facilitating effective resource allocation.
• Conducting data analysis and reporting for the EPIC USAID Project, enhancing program strategies through evidence-based insights to drive decision-making.
• Spearheading the development of survey questionnaires using the KOBO Collect App, facilitating comprehensive data collection for mapping economic actors in Eastern Kenya.

• Roles and Responsibilities:
• Increased customer retention by 25% through strategic engagement and consistent relationship management efforts, enhancing client loyalty and long-term partnerships.
• Reduced delivery times by 20% and distribution costs by 15% by optimizing distribution routes in collaboration with supply chain and logistics teams, improving operational efficiency.
• Improved inventory accuracy by 30% by developing and maintaining sales forecasting models, which supported effective inventory management and reduced stockouts.
• Boosted sales team productivity by 40% through the creation of real-time dashboards for monitoring sales performance and inventory levels, enabling quicker, data-driven decisions.