Python
Intermediate
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A Data Scientist with a background in Pharmaceutical Technology. My journey into data science started during my NYSC program at the Ekiti State Ministry of Health, where I became fascinated by the flow of data and its potential in decision-making. That experience sparked my curiosity and led me to pursue a career in data analytics.
To build my skills, I have taken courses from Coursera, Udemy, and Alex The Analyst, always looking for new ways to expand my knowledge. I actively participate in hackathons and engage with data science communities, sharpening my ability to uncover trends and make sense of complex data. Predictive analytics and machine learning excite me the most because they allow me to turn raw data into valuable insights.
Balancing my background in Pharmaceutical with my enthusiasm for data science keeps me engaged in both fields, exploring ways to bridge the gap between business, finance, healthcare, and analytics. Outside of work, I have a deep love for history, enjoy movies, and often imagine myself playing the piano.
My goal is to become a highly skilled data scientist, making an impact in business, tech firms, finance, e-commerce, healthcare, and possibly a tech startup by driving data-driven innovation. Feel free to check out my projects below, where I share my experiences and insights.
I have a well-rounded skill set in data analytics, covering programming, databases, BI tools, and spreadsheets. Through hands-on projects and certifications, I have continuously refined my expertise. Below is a glimpse of my capabilities.
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Experienced
Experienced
Intermediate
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Here are some of the projects I've worked on, showcasing my skills in data science, Machine Learning and AI
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Built a recommendation engine that leverages genre and plot overview data to generate personalized movie suggestions—addressing a real-world need for smarter, user-focused content discovery..
Analyzed ad campaign data to assess ROAS, ACOS, and conversions. Identified underperforming keywords and spending inefficiencies to improve targeting, boost returns, and support smarter digital ad strategies..
Developed a deep learning model in Python to analyze chest X-ray images and accurately detect pneumonia—supporting faster, more reliable medical diagnosis using AI-powered image classification..
Analyzed fashion return data to uncover key drivers of product returns. Identified high-return items and offered actionable insights to reduce return rates and boost customer satisfaction..
Explored five years of Nigeria’s import data to uncover trade patterns and dependencies, offering insights for business strategy, supply chain planning, and policy decisions..
Applied clustering algorithms to breast cancer datasets to uncover patterns supporting early detection. The project enhanced data-driven insights for classification and encouraged better diagnostic decisions in healthcare systems..
Built a Random Forest model to detect fraudulent transactions using features like transaction amount, location, and user demographics—aiming to enhance financial security through intelligent classification..
Evaluated product performance across Q1–Q3 2024 to identify items meeting sales targets. Recommended discontinuation of underperformers to reduce production costs and improve business efficiency.
Analyzed customer data to uncover patterns in retention and churn. Identified demographic and behavioral traits of loyal versus lost customers, offering insights to enhance retention strategies and reduce churn..
View My Latest
Below are some of my most recent dashboard projects created with BI Tools. These dashboards provide comprehensive insights and visualizations for various datasets and scenarios.
Check Out My
Here are some of my most significant certifications that demonstrate my skills and expertise in various domains.
Explore My
These are the individual courses I have completed to enhance my skills and knowledge in various areas.
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