About
l am a dynamic results-driven Statistical Analyst with extensive experience in the energy sector, specializing in petroleum and electricity. At the Zimbabwe Energy Regulatory Authority, I developed and implemented advanced multivariate time series models and econometric analyses that significantly improved forecasting accuracy and operational efficiency. I have a proven track record in optimizing energy production and distribution through data-driven solutions, including the application of machine learning and predictive modeling techniques. My work has led to a 15% improvement in energy sector projections and a 20% reduction in data collection time. With expertise in time series analysis, simulation, and natural language processing, I excel at extracting actionable insights from complex datasets. I am currently pursuing an MSc in Data Science to further enhance my analytical skills and stay at the forefront of industry advancements. I possess a diverse skill set that extends beyond analytics, including marketing, human resources, social media management, and financial analytics. This multifaceted background enables me to approach challenges holistically, integrating data insights with strategic decision-making across various functions. l am passionate about leveraging data to drive strategic decisions, I am eager to connect with professionals and organizations focused on innovation in the energy sector and beyond . I am also proficient in R, Python, SQL, and data visualization tools such as Tableau and Power BI, I am committed to continuous learning and professional development.