• Developed a customer chatbot (OpenAI GPT-3) providing accurate COVID-19 information, streamlining information access for users.• Built an AI maturity assessment tool (Django, HTML/CSS/JS) for clients, enabling data-driven evaluation of their AI readiness.• Analyzed financial data (Python, pandas, SQL) for clients, identifying trends and insights using visualization libraries (Seaborn, Plotly, Matplotlib).• Cleaned and preprocessed financial data (pandas, scikit-learn) to prepare it for further analysis and modeling.• Developed a credit scoring system for a fintech client (Django, Postman, MongoDB), facilitating efficient risk assessment and decision-making.• Created and deployed a product recommendation engine (NetworkX, Streamlit), personalizing product suggestions for users and enhancing customer experience.

• Mentored 20+ data science students, fostering their development in building efficient machine learning models and achieving a 99% success rate on their projects.• Organized a machine learning competition on Kaggle that required students to apply their data science skills to predict future sales prices using advanced regression techniques, fostering engagement and practical application of skills for data science students.• Developed and delivered data science curriculum, equipping students with skills in essential areas like Python programming, data analysis with libraries like pandas and NumPy, machine learning with algorithms like decision trees and random forests, deep learning using frameworks like TensorFlow and PyTorch, computer vision with tools like OpenCV, and recommender systems using collaborative filtering techniques.

• Social media analysis: Leveraging NLP to analyze sentiment in Swahili conversations for brand insights.• Environmental conservation: Developing AI models for automated turtle recognition and marine invertebrate classification.• Bridging the digital divide: Engineering Wolof speech recognition to empower non-literate individuals.• Infrastructure development: Utilizing AI for road segment identification from satellite imagery.• Financial inclusion: Predicting individuals most likely to benefit from banking services in East Africa.• Retail optimization: Designing solutions for real-time product removal prediction, enhancing customer experience.• Social good: Collaborating on building algorithms to classify tweets about gender-based violence and predict air quality for informed decision-making.• Agriculture: Developing AI models for passion fruit disease classification and crop classification in South Africa using satellite data.• Financial services: Predicting customer churn, solar customer payments, and vehicle insurance claims to optimize resource allocation and customer service.

• Toxic Comment Prediction: Built a model using natural language processing (SpaCy, NLTK & Fastai) toidentify potential toxic comments on Wikipedia, contributing to a safer online environment.• Real-time Starfish Object Detection: Developed an object detection model (YOLOv5) for real-time starfishidentification, enhancing research or conservation efforts.• Health Recommender System: Built a health recommender system leveraging various similarity measures(Person, Jaccard, Cosine) to personalize health recommendations.• Chronic Disease Analysis and Scoring: Developed a system for chronic disease scoring and dataanalysis using Python libraries (Pandas, Matplotlib, Seaborn, Plotly).• Investment Return Rate Forecasting: Utilized machine learning (Fastai & Keras) to create a modelpredicting investment returns, aiding in informed financial decisions.