Dickens Wachira

Data Scientist with experience in tech retail, turning large-scale sales and customer data into actionable insights. Skilled in predictive modeling for demand forecasting, inventory optimization, and pricing strategy. Proficient in Python, SQL, Power BI, and Tableau, with strong statistical and ML foundations. Delivers data-driven solutions that improve revenue and efficiency.

DATA SCIENTIST at BCP TECHNOLOGIES (2021-11 – Present)

• Developed and deployed sales forecasting models to predict product demand, improving inventory planning and reducing stockouts
• Analyzed large datasets from POS and e-commerce systems to identify sales trends, customer preferences, and revenue drivers.
• Built customer segmentation models to support targeted marketing campaigns and improve customer retention.
• Designed and implemented pricing and promotion strategies using data-driven insights, increasing sales conversion and profit margins.
• Optimized inventory management by forecasting demand and recommending reorder levels, reducing excess stock and holding costs.
• Created interactive dashboards and reports (Power BI/Tableau) to track KPIs such as sales growth, inventory turnover, and product performance
• Collaborated with marketing and operations teams to develop product bundling and recommendation strategies. Applied machine learning techniques (regression, clustering, time series analysis) to solve business problems and improve decision-making
• Cleaned, processed, and managed structured and unstructured data to ensure high-quality datasets for analysis.
• Provided actionable insights to senior management, supporting strategic planning and business growth initiatives

BACHELOR OF SCIENCE in DATA SCIENCE – Open university of kenya (2023 – 2026)