Proactive data analyst with an MSc in Statistics and over three years of teaching experience at the tertiary level. Skilled in using statistical methods and software tools such as SAS, R, Python, and SQL. Strong research background, with a focus on energy consumption in the sugar milling industry. Adept at presenting findings and recommendations, mentoring students, and engaging in academic administration.
Data Analysis
SAS
Python
R Programming
SQL
Java
Statistical Research
Research Project Design
Predictive modeling
Computer Literacy
Mentoring
Team Check-Ins
Complex Problem-Solving