Sikelela Mgaga

Orchestrated comprehensive data reporting and analysis initiatives, enhancing data accuracy, streamlining processes, and delivering actionable insights that drove significant cost savings and operational improvements.

• Developed and deployed machine learning models using PyTorch and TensorFlow, achieving over 90% accuracy in predictive analytics for critical business functions.
• Conducted in-depth data audits and analysis, identifying over R2M in cost savings opportunities through optimized processes and data-driven recommendations.
• Streamlined data integration by connecting and integrating various source systems, reducing data integration time by 30% and improving data accuracy by 15%.
• Designed and implemented robust data governance by creating and maintaining comprehensive data dictionaries, enhancing data accessibility and reliability by 40% and 22% respectively.
• Diagnosed and resolved critical database and software issues, reducing system downtime by 60% and maintaining an average resolution time of 2 hours for production issues.
• Delivered presentations and training sessions to over 100 employees, significantly improving organizational data literacy by 40% and fostering a data-driven culture.
• Utilized advanced statistical techniques to interpret data trends and insights, enabling data-driven decisions for over 20 projects and providing early warning for 8 critical business issues.
• Developed and tested ETL processes to ensure seamless data integration, reducing data integration errors by 40% and contributing to a 20% increase in team productivity.

Provided critical business intelligence support by analyzing extensive datasets, developing advanced models, and delivering actionable insights that improved operational efficiency and decision-making across various departments.

• Applied advanced statistical methods and modelling techniques to analyze data patterns, enabling data-driven decisions for over 15 projects and increasing model accuracy by 15%.
• Generated over 50 custom reports per quarter, providing actionable insights from extensive datasets that supported over 75 data-driven decisions.
• Collaborated with Information Management to extract and blend data from over 20 sources, reducing data collection time by 25% and ensuring a 98% data accuracy rate.
• Contributed to the development of data models and algorithms, enhancing analytical capabilities by 30% and improving overall operational efficiency by 12%.
• Assisted functional teams in model implementation and outcome monitoring, supporting over 10 cross-functional projects and contributing to a 5% reduction in operational costs.

Developed and implemented a text analytics solution to derive customer sentiment from survey data using Natural Language Processing (NLP) techniques.

Designed and deployed machine learning models integrated with Tableau and R for highly accurate passenger and revenue forecasting.

Developed and implemented dynamic pricing models based on competitor analysis and demand patterns to optimize pricing strategies.

Created and deployed predictive models to forecast fuel price fluctuations and advised on risk mitigation strategies to optimize procurement.