Jacob Saikolo is a Data Manager for IPOR. He is a highly skilled data professional with a strong background in Statistics, Computer Science and Mathematics with over 3 years of experience. He earned his Bachelor's degree in Statistics and Computer Science from University of Malawi in 2019. Currently, he is pursuing his Master's degree in Data Science. During his studies, Jacob Saikolo has developed a deep understanding of statistical theory and its practical applications, as well as a mastery of various programming languages and data analysis tools. He is familiar with several data collection platforms (CAPI, CATI, CAWI & PAPI) which gather data from surveys, interviews, observations, focus groups, experiments, and secondary data. These includes but not limited to SurveyCTO, SurveyToGo, Survey Solutions, ODK Ona, CSPro, REDCap, CommCare, Survey monkey, google forms, etc. He is competent with several data analysis software, databases and programming languages such as Excel, SPSS, STATA, Python, R Programming, Microsoft Access, MySQL, PostgreSQL, Java, C++, PHP, Java Script among many others. He also has gained experience in research design and implementation, conducting advanced statistical analyses, report writing, proposal development and building predictive models. After graduation, Jacob Saikolo worked as a part-time Associate Lecturer in Statistics and and a Tutor in Computer Science at University of Malawi. At IPOR, Jacob has leveraged his expertise in statistics and computer science to drive data-driven insights and decision-making across the organization. He has also collaborated with cross-functional teams to develop, program and deploy complex questionnaires for data collection, and has contributed to numerous data-driven projects that have yielded significant results. He manages surveys, developing questionnaires with good logic, programing survey questionnaires, monitoring data collection in real time and physically, reviewing and cleaning datasets, analyzing data, interpreting and presenting survey results and communicating the results to the public for actions. He enjoys staying up-to-date with the latest advancements in programming advancements, data science, and high-level statistical analyses, and participates in various online communities and forums to exchange ideas and insights with other data professionals.