Kadeem K.

DATA SCIENCE | RESEARCH | GIS | PROGRAM STRATEGY AND EVALUATION I am a Data Science and Program Management professional with over 9 years of experience turning complex datasets into actionable insights. I specialize in helping organizations leverage data to drive strategic decision-making, optimize program outcomes, and improve user engagement. With a diverse background working in the tech, finance, payments, social impact, trust and safety, sustainability and international development, I’ve built and managed data pipelines, predictive models, and visualization tools that have transformed how teams operate and make decisions. The problem I solve: I help organizations unlock the power of data by transforming a wide array of information into actionable insights that drive innovation and operational efficiency. From balancing business needs with data-driven solutions to identifying growth opportunities, I streamline complex processes to optimize outcomes in fast-paced environments. At Meta, I led data-driven initiatives that reached over 2 billion people, influencing global campaigns on vaccine acceptance, climate change, and equity. At Atlas AI, I spearheaded product development for a public health and climate risk platform, helping partners identify millions at risk of climate hazards and poor health outcomes. Additionally, at Mastercard, I applied data science techniques that resulted in millions invested into organizations in underserved communities. I am proficient in Python, SQL, R, and data visualization tools such as Tableau. I have led cross-functional teams to deliver high-impact results, and my expertise spans statistical modeling, machine learning, and program strategy. My primary goal is to drive data-led growth strategies, develop innovative product solutions, and continuously expand my knowledge in data science and analytics to empower organizations with critical insights that create lasting impact. Specialties: Statistical Modeling and Analysis, Python, R and SQL Proficiency, Data Storytelling and Visualization, Data Science/ Machine Learning, GIS, Map-making, Spatial analysis, Cross-functional Collaboration, Program Strategy and Evaluation, Stakeholder Management, Data-driven Decision-making, Qualitative Research, Communication Skills (to Technical & Non-Technical audiences), Report and Case Study Writing, Behavior Change Communication Knowledge, Product Management, Digital Marketing Execution and Measurement, Leadership and People Management, Management and Problem-Solving, ETL Pipelines