Programming & ML
Python (pandas, sklearn, TensorFlow), SQL, R, GitLab, NumPy, Matplotlib
Hi, I’m Alex Olerimi. Data Scientist.
I love making
data make sense.
A curious mind, a love for solving problems, and a belief that great insights start with better questions. I turn complex data into something useful.
Machine learning✳Data analytics✳Predictive modelling✳Data engineering✳
01 / THE APPROACH
Behind every dataset,
there’s a better question.
I’m a data scientist driven by the possibilities hidden in complex information. My work connects technical depth with practical thinking — transforming data into insights that help people make better decisions.
Explore my experienceMachine Learning
Classification, model optimisation, SMOTE, feature engineering, CNN/LSTM, hyperparameter tuning
Data Engineering
ETL pipelines, Azure (Synapse/Storage), data modelling, large-scale dataset processing
Analytics & Visualisation
Power BI, DAX, Excel advanced formulas, pivot tables, dashboards
02 / SELECTED WORK
From exploration
to real-world impact.
DATA / EXPLORATION 01
01
Tinnitus Detection Using Machine Learning
Developed a predictive model to classify tinnitus presence using extracted features from patient data. Built and evaluated multiple ML algorithms (SVM, Random Forest, Logistic Regression), implemented SMOTE, and achieved strong performance.
DATA / EXPLORATION 02
02
ECG Heartbeat Classification
Applied ML techniques to classify arrhythmia patterns on medical data. Developed automated preprocessing pipeline for signal segmentation and tested models including CNN-based approaches.
DATA / EXPLORATION 03
03
Violent Crime Big Data Analysis
Processed and analysed multi-million-row datasets (65M+ Rows) using PySpark and Azure Databricks. Built automated ETL pipeline and delivered insight dashboards for regional crime trends.
03 / THE JOURNEY
Experience
that adds up.
Warri Refinery & Petrochemical CompanyEDMS Support Analyst2013 – 2015
• Supported digital document management across departments. • Assisted engineers with data retrieval and technical documentation. • Performed structured data classification, indexing, and archiving. • Ensured data integrity and accessibility for stakeholders.
Hequip ResourcesData ClerkAug 2015 – Jan 2018
• Managed daily data processing, documentation, and quality assurance tasks. • Developed structured data collection systems improving reporting accuracy. • Cleaned, validated and updated sensitive records ensuring compliance and accuracy. • Supported management with ad-hoc analysis and produced reports on operational trends.
PICKMEUP.NGData AnalystJan 2018 – Sept 2022
• Analysed rich operational datasets to support decision-making and customer experience improvements. • Merged, cleaned and processed datasets using SQL, Python, and Excel. • Designed and delivered analytical dashboards using Power BI. • Identified business process inefficiencies and proposed data-driven improvements. • Collaborated cross-functionally with engineering and product teams to translate user and operational needs into actionable insights.
Key Achievements
- Built predictive ML models with strong classification accuracy, validated through statistical tests.
- Processed datasets exceeding 65 million rows using Spark, reducing computation times significantly.
- Automated reporting workflows that reduced processing time by up to 40%.
- Created Power BI dashboards used by multiple stakeholders to support data-driven decision-making.
- Demonstrated resilience, emotional intelligence, and calm communication in high-pressure environments.
Research Interests
- Medical image analysis
- Predictive modelling
- Hybrid ML systems (deep learning + classical ML)
- Bayesian optimisation
- Health informatics
- Efficient/Green AI architectures
04 / NOTES & PERSPECTIVES
A curious mind.
An open notebook.
ALWAYS ASKING WHAT’S NEXT