I am a highly capable Researcher with passion and training for creating and implementing data-driven algorithms to provide a meaningful, tangible contribution to organizational success. My extensive teaching and research background are evidenced by repeated success presenting complex information in easy-to-understand formats for key stakeholders at all levels.My interest in data analysis and modelling was first sparked by my Ph.D. research which analyzed Internet frame relay traffic data using time series analysis leading to a published paper. In my career I have researched RFID system, taught computer science including object-oriented analysis and design, spearheaded strategic planning and procurement for technology implementation across 15 branches of a bank, and provided technical support and guidance to incoming faculty. Additionally, I have designed curriculum, orchestrated a distance learning BSc program in Applied Computer Science, and administrated an IT higher diploma involving budgeting, staff selection, logistics, equipment procurement, committee meeting facilitation, exams, and general program development activities. I believe this well-rounded work experience positions me to not only extract and analyze data but also to design experiments and communicate critical information in an easy-to-understand, compelling manner.I’m a motivated, detail-oriented problem-solver with training in R, SAS, SQL, Python, Scala, Hadoop-Map-reduce and Apache Spark, Watson Analytics, and Tableau. Based on this, I believe my education and skills translate easily to the role of Data Scientist, allowing me to provide organized, data-driven information through self-directed or team-oriented work, contributing to the achievement of organizational objectives.