Gbadegesin
Data Scientist
Overview
I am an experienced Data Scientist and PhD researcher with a robust background in Artificial Intelligence, Machine Learning, and Data Science. Currently pursuing a PhD at the University of Salford, I specialize in developing AI-driven solutions for complex real-world problems, particularly in healthcare and agriculture.
My industry experience includes leading deep learning projects in fraud detection and healthcare diagnostics, where I have successfully applied cutting-edge AI techniques to deliver impactful results. I am passionate about mentoring and guiding others in the field of data science, sharing my expertise to help them achieve their professional goals.
Specialties
Expertise in Python programming, including libraries such as Pandas, NumPy, and PyTorch. Advanced knowledge of Machine Learning and Deep Learning techniques, particularly in computer vision and natural language processing. Proficiency in data visualization tools like Tableau and Power BI, with a focus on integrating AI-driven insights. Strong analytical and problem-solving skills, with the ability to interpret complex data and derive actionable insights. Experienced in project management, including the development and deployment of AI models in real-world scenarios.
I specialize in the application of AI and Machine Learning to solve complex problems in healthcare, agriculture, and financial sectors. My work in developing AI models for real-time behavior prediction in livestock and fraud detection in blockchain transactions has provided me with deep insights into the practical applications of AI. I am also skilled in mentoring and educating others in data science, helping them build their skills in programming, machine learning, and data analysis.
Experience
Data Scientist - Spade Tech, Scotland, United kingdom
Lead the development and implementation of AI and machine learning models to address complex business challenges, including fraud detection in Blockchain transactions and healthcare diagnostics. Design and deploy deep learning algorithms for various applications, enhancing the accuracy and efficiency of predictive models. Create and maintain interactive dashboards using Tableau and Power BI, integrating Python scripts for advanced data analysis and visualisation. Conduct extensive data research and analysis to support database maintenance, model development, and business decision-making. Collaborate with cross-functional teams to deliver data-driven insights that improve operational efficiency and strategic planning.
Data Scientist - CycleBreeze, Lagos, Nigeria
Developed and deployed AI models for sales optimization and e-commerce operations, significantly increasing revenue and operational efficiency. Led the design and implementation of a deep learning-based system for Automatic Pneumonia Diagnosis using Convolutional Neural Networks (CNNs), enhancing diagnostic speed and accuracy. Conducted comprehensive data flow mapping and analysis, leading to improved decision-making processes within the organization. Utilized machine learning techniques to analyze market trends, providing actionable insights that informed business strategies. Collaborated with software development teams to integrate AI-driven solutions into existing platforms, ensuring seamless operation and user experience.
