AI Data Scientist with experience developing and deploying end-to-end AI/ML solutions. Proven ability to build scalable pipelines, implement NLP, and develop predictive models using Python, PyTorch, Flask, and cloud platforms. Seeking to leverage my expertise in AI and data science to drive innovation and solve complex problems.

• Founder, 180GIG Limited, London, UK

Building mealRoaster, a nutrition intelligence platform for nutrition focused professionals and businesses.

• Contract AI Engineer, AI Agents Agency, London, UK

Developed and fine-tuned AI models (GPT-4 Turbo, LLaMA 3, BERT) for health-related conversational AI and recommendation engines. Implemented personalized recommendation algorithms using machine learning and reinforcement learning techniques. Built and trained NLP models for a conversational AI chatbot, including sentiment analysis and context retention. Processed and preprocessed health-related data from various sources, ensuring data privacy and compliance (GDPR, HIPAA). Deployed and optimized AI models for scalable real-time inference on cloud platforms (AWS, Google Cloud, Azure). Developed ontology-based systems for symptoms to product matching. Ensured AI response compliance with FDA and EU AI Act.

• Data Science Bootcamp, HyperionDev, London, UK

I developed a sophisticated AI chatbot using ChatterBot, showcasing my proficiency in natural language processing (NLP) and enhancing conversational agent capabilities. I implemented sentiment analysis with the spaCy library, demonstrating my understanding of text processing and sentiment classification techniques. I designed and constructed an insurance model using regression models from scikit-learn, highlighting my ability to apply machine learning algorithms to real-world business problems. I acquired expertise in coding with Python and utilized various libraries crucial for data science, contributing to my solid foundation in data manipulation and analysis. I excelled in data visualization and storytelling, translating complex findings into clear and compelling narratives for diverse audiences.

• Finance Specialist, Dancom Technologies Ltd, Lagos, Nigeria

Led and managed a team member, overseeing the accurate preparation, analysis, and presentation of financial and budgetary reports on a monthly, quarterly, and annual basis. Utilized Microsoft Power BI to showcase business performance metrics and conducted high-level variance analysis by comparing financial statements against forecasts. Applied data analysis techniques to identify gaps and transform complex information into detailed guides, contributing to improved decision-making processes within the organization.

• Data Science/ML Fellow, Fellowship.AI

I contributed to the development of the ChatGPT Wealth Advisor solution, engaging in tasks from data collection to production and employing Agile methodology for project management and model development. In the process, I utilized the BeautifulSoup Python Library for effective data scraping and incorporated the latest research in deep learning, reinforcement learning, and generative adversarial networks.

• Master of Science in Data Science

  • Birkbeck, University of London, 2024

• Master in Business Administration

  • Obafemi Awolowo University, 2014

• BSc. Economics

  • Olabisi Onabanjo University, 2007

• Data Science: Expertise in Python, Pandas, Numpy, Matplotlib, scikit-learn, NLTK and spaCy.
• Machine Learning: Skilled in regression modeling and predictive analytics.
• Natural Language Processing (NLP): Proven track record in developing AI chatbots and sentiment analysis applications.
• Data Visualization: Excelled in translating complex findings into compelling narratives for diverse audiences.
• Collaboration: Strong team player, adept at working with cross-functional teams.

• Data Science Bootcamp, HyperionDev, London, UK
• Kick-start Your Data Science Career, Lauchpad.AI
• Deep Learning and Reinforcement Learning, IBM Skills Network
• Explore a Career in Machine Learning Engineering, LinkedIn Learning
• Python Data Analysis, LinkedIn Learning
• SQL for Data Analysis, LinkedIn Learning

Explore some of my notable projects, including:

• Financial Sentiment Analysis with Explainable AI: Empowering Financial Decision-Making with Explainable AI and Real-Time Sentiment Analysis.
• AI RAG Chatbot): AI RAG Chatbot
• LLM Movie Recommendation System: A smart movie recommendation system that uses The Movie Database (TMDb) API and language models to provide personalized movie suggestions based on natural language queries.
• Insurance Model using scikit-learn: Regression modeling for real-world business problems.

Feel free to explore my repositories and connect with me to discuss collaboration opportunities or share insights. Let's innovate and learn together! 🚀