About Me

Data Scientist

Artefact

I developed and delivered data products to clients while consulting on their data needs.

• Built automated document processing service that reduced verification costs and to protect over 120 MDH through signature validation
• Created 86.23% accurate client scoring model for Bank of Africa to identify high-potential inactive users for targeted engagement
• Implemented GenAI-powered FAQ generation system for Orange using customer chat data and unsupervised learning to enhance support efficiency
• Designed 93.29% accurate customer request classification model for Orange, optimizing support routing and staff allocation

Data Scientist Intern

Artefact

Developed a natural language interface for complex database querying through comparative AI agent architecture analysis, enabling intuitive data access for non-technical users.

• Created a natural language interface for database querying by analyzing multiple AI agent architectures, making data accessible to non-technical users
• Benchmarked parameter-efficient fine-tuning techniques (QLoRA) across StarCoder and Llama v3 models for Text-to-SQL generation, optimizing hyperparameters

Machine Learning Engineer Intern

Yakeey

Built an end-to-end pipeline for extracting building footprints from satellite imagery through evaluation of deep learning segmentation models.

• Engineered a pipeline extracting building footprints from satellite imagery
• Benchmarked multiple deep learning segmentation models (U-Net, Mask R-CNN, DeepLabv3+)
• Applied various image processing techniques to enhance performance

Algorithm & Backend Engineer Intern

KubicBits

Developed an optimized vehicle routing algorithm handling multiple configurations and constraints for production use.

• Delivered 30% improvements in both processing speed and solution quality through algorithm optimization techniques

Studied Computer Science and Engineering with a focus on data science, machine learning, and software engineering.