Full-Stack Data Scientist and Machine Learning Engineer with 5 years of experience in data mining, analytics, and AI solutions. Skilled in developing and deploying machine learning models, building end-to-end data systems, and integrating front-end and back-end components. Proficient in Python, TensorFlow, and PyTorch. Adept at turning complex data into actionable insights and creating scalable solutions to solve real-world problems.…

taiwoolajumoke242505

Full-Stack Data Scientist and Machine Learning Engineer with 5 years of experience in data mining, analytics, and AI solutions. Skilled in developing and deploying machine learning models, building end-to-end data systems, and integrating front-end and back-end components. Proficient in Python, TensorFlow, and PyTorch. Adept at turning complex data into actionable insights and creating scalable solutions to solve real-world problems.…

Available to hire

Full-Stack Data Scientist and Machine Learning Engineer with 5 years of experience in data mining, analytics, and AI solutions. Skilled in developing and deploying machine learning models, building end-to-end data systems, and integrating front-end and back-end components. Proficient in Python, TensorFlow, and PyTorch. Adept at turning complex data into actionable insights and creating scalable solutions to solve real-world problems.

See more

Work Experience

Add your work experience history here.

Education

Master of Science (Artificial Intelligence & Data Science) at Keele University
October 17, 2024 - October 17, 2024

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Computers & Electronics, Non-Profit Organization, Healthcare
    paper MindWave: AI-Powered Mental Health Support

    •Created a web application with a psychological first aid chatbot powered by fine-tuned BERT and GPT-3.5 models for emotional distress prediction and psychological first aid support.
    • Optimised data processing and model training pipelines using Hadoops MapReduce and HDFS, deployed via Flask and Heroku.

    paper SkinIQ: AI-Powered Skin Analysis and Recommendation Tool

    •Developed a skin analysis tool using CNNs and image recognition algorithms, with TensorFlow for model training and MongoDB for data storage.
    • Delivered personalised skincare product recommendations by leveraging recommender systems, achieving high user satisfaction and engagement.