Chimezie Onyema

Led end-to-end data science projects, resulting in actionable insights and strategic decisions

• Conducted exploratory data analysis, improving data quality and identifying optimization opportunities
• Applied machine learning for predictive maintenance, customer churn prediction, and fraud detection
• Utilized NLP for sentiment analysis and topic modeling
• Designed and implemented various models (LLM, RNN, CNN, ANN) for time series forecasting and image recognition
• Collaborated with teams to implement data-driven solutions, increasing operational efficiency and revenue
• Developed interactive data dashboards using Tableau and Power BI
• Presented findings to non-technical stakeholders, fostering data-driven culture.

• Cleaned transformed, and analyzed large datasets to uncover hidden trends and patterns for actionable insights.
• Streamlined data collection methods to improve quality control measures and minimize errors in analysis results.
• Conducted thorough exploratory data analysis to identify essential variables for building robust models.
• Identified, measured and recommended improvement strategies for KPIs across business areas.
• Compiled, cleaned and manipulated data for proper handling.
• Analyzed large datasets to identify trends and patterns in customer behaviors.
• Modeled predictions with feature selection algorithms.