Chiebukar Chiebukar

Conduct in-depth customer profitability analysis and develop sales forecasting models. Utilize insights from statistical analysis to optimize revenue streams and implement retention strategies through customer segmentation and churn rate analysis.

Utilized data visualization to track maintenance and inspection periods for fire extinguishing systems. Developed interactive dashboards for real-time insights and demand forecasting based on historical data.

Designed a demo movie recommender system and authored articles on real-time data processing and generative models. Demonstrated AI-driven customer analytics for business growth.

Built a stock price forecasting pipeline using LSTM neural networks and developed an object segmentation model using CNN for COVID-19 abnormalities detection.

Conducted A/B Tests on ad creatives and analyzed campaign data to identify patterns. Provided recommendations that led to increased client engagements and predicted KPIs for future campaigns.

Completed a Bachelor's degree in Geoscience, studying various aspects of earth sciences, including geology, meteorology, and environmental science.