Samuel Kouatcheu

With over eight years of professional experience as a Data Engineer and Data Analyst, I have cultivated a strong background in the Financial, Retail, and Healthcare domains. I have a Bachelor of Science degree in Computer Science and Molecular Biology from Florida Agricultural and Mechanical University. My technical expertise encompasses a wide array of tools and technologies, including Python, R, Stata, Java, SQL, and various data visualization platforms such as Tableau and Power BI.

During my tenure at Dunamis InfoTech, I led the development and deployment of Tableau dashboards, interacted with multiple groups to achieve deliverables, and provided high-level expertise in public health data analysis. My role required the creation of complex SQL queries, Python scripts, and the optimization of LookML models for data visualization and decision-making.

At Equifax, I executed activities to support new data source integration, collaborated with technology teams to design data ingestion models, and developed strategies for data wrangling and visualization. My responsibilities included data quality assurance, data preprocessing pipeline development, and the deployment of Python modeling APIs for customer analytics.

At the National Cancer Institute, I developed and deployed machine learning algorithms and predictive models to advance cancer research. I integrated disparate data sources, collaborated with molecular biologists, and conducted statistical analyses to support clinical decision-making. My work involved developing models to identify potential drug targets and optimizing features through A/B tests.