Ing. MOYO JORDAN

Developed B2C media enhancement and optimization framework through: • Collected and Harmonized Data from Diverse Sources into a Databricks Environment • Conducted Hypothesis Testing via A/B Testing and Causal Inference to evaluate media performance of different marketing strategies using sales data as KPIs alongside media data, with results expressed in ROI for actionable business insights and informed strategic decision-making • using two years of hypothesis testing results to benchmark media performance,

Designed multiple data solutions for clients, including Diageo. Implemented state-of-the-art machine learning models for time series forecasting, and customer segmentation. • Led in-depth analysis of time series data, handling data preparation, feature creation, and model selection. • Used advanced forecasting methods, like Prophet, for accurate predictions across different datasets. • Identified and explained patterns in time series data to support strategic decision-making. • Used machine learning to ana

- Proficient in developing innovative solutions using React Native and React for front-end applications. - Experienced in backend development with Node.js, delivering scalable and efficient solutions. - Skilled in working with databases, including MongoDB, MySQL, and Apollo. -Successfully built and deployed Ekohonline: - A platform available on both web and mobile (Play Store). - Enables artists to share and sell their music. - Provides users with an engaging and seamless music experience.