Welcome to the digital intersection of data and impactful decision-making.
I'm Imonikhe Ayeni, a seasoned Data Scientist and Analytics Professional with over seven years of experience transforming complex data into actionable insights across financial services, health services, and cutting-edge research. With a Master's in Data Science with Distinction from Cardiff Metropolitan University and major certifications including Microsoft Certified Power BI Data Analyst Associate, Azure AI Fundamentals, and Certiport IT Specialist in Data Analytics and Databases, my robust skill set spans Python (pandas, scikit-learn, NLTK, etc.), Machine Learning, Apache Spark, SQL, Power BI (Certified), Tableau, SPSS, and geospatial analytics, complemented by proficiency in cloud platforms such as Azure, AWS, Databricks, and Snowflake. I am passionate about leveraging data to drive strategic outcomes and foster innovation. Explore my projects to see how I translate advanced analytics into real-world solutions.
Projects
Explore my hands-on data science endeavors, designed to illustrate how robust analytical techniques address complex problems. These projects illuminate my comprehensive approach, encompassing everything from initial data acquisition and preparation to the sophisticated application of machine learning, natural language processing, and geospatial analysis. Witness the practical utility of Python in crafting data-driven solutions, and gain insight into the meticulous processes of data mining, cleaning, and creating impactful visualizations that drive understanding.
A Comparative Analysis of Ridge Regression and Random Forest Models for Predicting Airbnb Prices with Exploratory Data Analysis
Digital Pulse of Conflict: Economic and Sentiment Analysis of the Russia-Ukraine War
Building and Deploying a Static Website on Amazon S3: A Step-by-Step Guide
Mapping and Analyzing Geospatial Trends: A Python Approach
Stock Volatility Analysis and Forecasting Using GARCH and EGARCH Models: A Comparative Study of Microsoft and Apple
MACHINE LEARNING FOR SMART HEALTHCARE ANALYSIS: A MULTIMODAL APPROACH
About Me
Contact
I will be happy to hear your feedback. Please reach out to me on any of my social media handles, or by phone on +447901364528, by email on imonikheayeni@gmail.com