I am Aiyegbeni Israel
Name: Aiyegbeni Israel
Profile: Data Scientist
Email: israeltemidayo24@gmail.com
Phone: (234) 8057891740
Skills
About Me
I am a results-driven Data Science and Machine Learning Enthusiast with a strong foundation in engineering principles and a passion for solving real-world problems. Skilled in developing predictive models, deploying ML solutions, and optimizing processes using data-driven insights. I am experienced in applying cloud computing (Azure, AWS) and MLOps practices for scalable, automated machine learning workflows.
With a strong interest in technology, sustainability, and innovation, I strive to contribute to projects that drive efficiency and promote environmental responsibility.
I'm always eager to learn and collaborate in dynamic, tech-focused environments where impactful, forward-thinking solutions are built.
Resume
📄 Download Full Resume hereAiyegbeni Israel – Data Science & ML Enthusiast
- Lagos, Nigeria
Education
B.Sc. Agricultural & Environmental Engineering
2018 – 2024
University of Ibadan
CGPA: 3.38 / 4.00 | Rank: 2nd of 34
Dean’s List (2022–2024), Award of Merit (2024)
Cloud Computing Track
2025
Techcrush Bootcamp
92.8/100 | Best Graduating Student
Certifications
- Machine Learning – DeepLearning.AI and 3MTT
- Data Analytics – Foresight BI and Cisco Netcad
- Python Core – SoloLearn and Bincom Academy
- Cloud Computing – Techcrush
- Microsoft AI-900 Certification
- Generative AI – LinkedIn Learning
Experience
Pricepally
2025 – Present
Data Analyst / Data Scientist Intern
- Analyzed customer behavior and sales trends to guide strategic decisions
- Built automated dashboards and visualizations for stakeholder reporting
- Applied machine learning models for demand prediction and churn analysis
International Institute of Tropical Agriculture (IITA)
2023
Intern
- Improved cassava processing efficiency by 10% using data insights
- Performed quality control, machine operation, and optimization
Job Simulations
- Deloitte, BCG, Commonwealth Bank, British Airways, Tata (Forage)
Interests
AI for Impact, Automation, Climate Tech, Data Science, Innovation
Projects
- Water Resource Management: Forecasted water loss in Ogun-Osun Basin to solve scarcity issues. Research published and presented at the 2024 NIAE International Conference.
- Trend Analysis: Analyzed hydrological trends using Python and Excel for sustainability planning.
- Fruit Classifier: Achieved 95% accuracy in fruit sorting and shelf-life prediction.
- Real-time fraud detection app: Built a real-time fraud detection pipeline powered by FastAPI, Kafka, and Machine Learning, containerized with Docker, and monitored using Prometheus and Grafana.
- News classification model: Using Natural Language Processing (NLP) techniques to build a text classification model for news categorization.
Leadership
- Committee Member – AEESS Conference 2024
- Younga 2022 Delegate – Global Youth Leadership
Portfolio
Some of my recent projects in data analysis, data science, and machine learning.
Built a real-time fraud detection system using FastAPI, Kafka, and a trained ML model. Consumes and processes transaction streams, outputs predictions to Kafka topics with logging and monitoring.
Developed a model to forecast evapotranspiration in the Ogun-Osun River Basin. Presented at NIAE Conference 2024.
Deployed my static portfolio website on azure usng github actions.
Analyzed rainfall and flow patterns using Python. Supported climate risk strategies.
Developed a CNN model to classify fruits and predict shelf-life. 95% test accuracy.
Designed a Power BI dashboard to visualize sales by region and location.
Developed a web app with Django to allow media upload and database storage.
Contact
Let's get in touch