DENIS KOMEN

• Designed experiments using appropriate sampling methods and statistical tests.
• Employed statistical techniques to uncover actionable insights from data.
• Communicated effectively with stakeholders regarding project status updates and deliverables.
• Interpreted complex numerical information into meaningful insights that could be used for decision-making purposes.
• Analyzed large datasets to identify trends and patterns.
• Prepared documents detailing data analysis procedures and results.
• Maintained databases team.
• Used complete enumeration bases to determine and define groups to be surveyed.
• Use of R and SAS programming

• Collaborated with team members on project design specifications and coding standards guidelines.
• Documented code changes made during development process for future reference and maintenance purposes.
• Provided technical support to users via phone, email or other communication methods.
• Assisted in the design of database schemas to support application requirements.
• Implemented new features into existing systems as requested by clients or stakeholders.
• Performed root cause analysis to identify system issues.

.Research project on application of state-art stastistical machine learning methods in cancer research.

• Developed machine learning models and algorithms for predictive analytics.
• Performed exploratory analysis to identify patterns in datasets.
• Utilized a variety of techniques including linear regression, logistic regression, decision tree, random forest, gradient boosting, and neural networks.
• Identified, researched and evaluated innovative machine learning technologies, explaining details to students and researches