Hi, I'm Ibekwe Kingsley

PericulumFull-time

• Optimized data pipelines and automated ETL processes to improve accuracy, efficiency, and scalability of financial data analysis. with cross-functional teams to implement machine learning models for fraud detection, risk assessment, and customer segmentation.
• Developed and Refined algorithms for data processing, risk management and credit scoring engine for financial applications.
• Maintaining API enabled data analytics and credit scoring engine that provides predictive analysis into customers financial health data.

Nsibidi Fables LtdContract

• Implemented text-to-image generative models on cloud GPU infrastructure, supporting scalable image generation for internal animation teams.
• Engineered machine learning–based sketch-cleaning pipelines that converted rough artist inputs into production-ready assets, reducing manual cleanup time by 30%.
• Fine-tuned Stable Diffusion models using LoRA adapters, improving stylistic consistency and reducing prompt variance for company-specific visual IP

Quantum Side TechnologiesContract

• Performed data analysis and visualization to support business decisions.
• Built predictive models for customer behavior and churn analysis.
• Automated data pipelines using Python and SQL.
• Presented findings and insights to senior leadership.

Wiretooth TechnologiesInternship

• Performed data analysis and visualization to support business decisions.
• Built predictive models for customer behavior and churn analysis.
• Automated data pipelines using Python and SQL.
• Presented findings and insights to senior leadership.

British AirwaysProgram

• Completed a data science simulation focused on customer review analysis.
• Built a predictive model to understand factors influencing buying behavior.
• Applied web scraping techniques to gather customer feedback data.

OmdenaCommunity

• Contributed to global AI projects addressing real-world social challenges.
• Collaborated with international teams on NLP and computer vision tasks.
• Developed and deployed ML models for healthcare and environmental projects.

Amazon Web ServicesCommunity

• Selected as an AWS Community Builder for Machine Learning.
• Created content and shared knowledge about AWS ML services.
• Engaged with the global cloud and AI community.

Network UNNLeadership

• Led a team of data science enthusiasts in research and project development.
• Organized workshops and bootcamps on Python, ML, and data analysis.
• Mentored junior members in building end-to-end data science projects.

HamoyeInternship

• Completed an intensive data science internship program.
• Built regression and classification models on real-world datasets.
• Gained hands-on experience with Pandas, Scikit-learn, and data visualization.