IMONIKHE IRIA AYENI

Imonikhe Ayeni is a highly accomplished data scientist with an impressive blend of academic excellence and industry expertise spanning over 7 years in financial services and advanced analytics. Currently based in the United Kingdom, Imonikhe has established himself as a versatile professional capable of bridging the gap between complex technical analysis and strategic business decision-making.

Academic Excellence & Continuous Learning

Imonikhe holds a Master of Science in Data Science with Distinction from Cardiff Metropolitan University (2024), demonstrating exceptional academic performance in advanced data science methodologies. His educational foundation is further strengthened by a Master's in Geography and Planning from the University of Lagos and a Bachelor's degree with Second Class Upper honors from the University of Benin. This diverse educational background provides him with unique spatial analysis capabilities that complement his data science expertise.

His commitment to professional development is evident through his recent certification achievements, including Microsoft Certified Power BI Data Analyst Associate, Azure AI Fundamentals, and Certiport IT Specialist certifications in both Data Analytics and Databases. Currently preparing for AWS Certified Solutions Architect Associate certification, Imonikhe continues to expand his cloud computing expertise.

Professional Experience & Impact

Current Role: Research Assistant at Cardiff Metropolitan University

In his current position, Imonikhe orchestrates comprehensive data analysis for the Digital Technology Learning Support Network (DTLSN) Project in Wales. He has streamlined data ETL processes, developed sophisticated data models, and created compelling visualizations using cutting-edge tools including Python libraries (NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn), Power BI, and Tableau. His work focuses on implementing machine learning models for predictive analytics across various research initiatives.

Financial Services Expertise: Access Bank & Diamond Bank

During his tenure in Nigeria's banking sector, Imonikhe demonstrated exceptional ability to translate complex data into actionable business insights:

• At Access Bank (2019-2023): As a Business Intelligence Analyst, he developed predictive models for risk asset performance optimization, implemented data-driven solutions to reduce loan delinquency, and conducted sophisticated A/B testing for marketing campaigns. His work directly contributed to profit maximization through strategic pricing optimization.
• At Diamond Bank (2014-2019): As a Data Analyst and Customer Experience Analyst, he transformed raw transaction data into meaningful insights, developed micro-segmented marketing campaigns for dormant customers, and achieved over 90% productivity increase through effective data mining and modeling techniques.

Technical Expertise & Innovation

Imonikhe possesses comprehensive technical skills across the data science ecosystem:

• Programming & Analytics: Advanced SQL, Python (Pandas, NumPy, Matplotlib, Scikit-learn)
• Visualization & BI: Power BI (Certified), Tableau, Looker, advanced dashboard creation
• Cloud & Infrastructure: Azure (Certified), AWS, database management systems
• Advanced Analytics: Machine learning, statistical modeling, natural language processing, geospatial analysis

Notable Project Portfolio

His project portfolio showcases practical application of advanced data science techniques:

1. Predictive Pricing Model: Developed machine learning models achieving 58.6% R² accuracy for Airbnb price prediction using Random Forest and Ridge Regression
2. Healthcare ML Application: Built and deployed a stroke risk prediction model with automated retraining pipeline
3. Geospatial Machine Learning: Implemented spatial clustering algorithms for geographic pattern analysis
4. NLP & Sentiment Analysis: Created sentiment analysis pipeline achieving 87% accuracy in classification

Professional Strengths

• Strategic Vision: Ability to translate complex business problems into data-driven solutions
• Technical Leadership: Expertise in implementing end-to-end machine learning pipelines
• Cross-functional Collaboration: Proven track record of working with diverse stakeholders
• Communication: Skilled in presenting technical findings to non-technical audiences
• Continuous Innovation: Commitment to staying current with emerging technologies and methodologies

Looking Forward

With his combination of advanced academic credentials, extensive industry experience, and cutting-edge technical certifications, Imonikhe Ayeni represents the next generation of data science professionals. His unique background spanning financial services, research, and advanced analytics positions him perfectly for senior data science roles where strategic thinking, technical excellence, and business acumen are equally valued.