Azeez Durodola
Summary
Technical Data Scientist specialising in building scalable data pipelines and machine learning models with a strong focus on health related analytics. Experienced in Python, SQL, model development, data validation, and cloud based processing. Skilled in transforming raw multimodal datasets into reliable insights to support experimentation, evaluation, and product decision making. Passionate about responsible AI, safety, reproducibility, and data driven systems that improve user wellbeing and healthcare outcomes.
Overview
8
8
years of professional experience
1
1
Certification
Work history
Data Analyst
Pryntd
London
06.2022 - Current
- Designed Python and SQL workflows to process, clean, validate, and analyse structured datasets.
- Built automated pipelines supporting predictive analytics and reporting for compliance and performance monitoring.
- Developed interactive dashboards in Power BI to surface metrics, trends, and data quality insights used by product and governance teams.
- Conducted statistical validation and anomaly detection improving reporting accuracy by 25 percent.
- Collaborated with engineering and governance teams to embed AI assisted monitoring into operational processes.
Data Governance Analyst
Envysion Ltd
London
03.2021 - 06.2022
- Built SQL based workflows to support audit pipelines and improve transparency across datasets.
- Enhanced metadata documentation and lineage in Collibra, reducing review time by 20 percent.
- Worked closely with analytics teams to align governance rules with machine learning pipelines and reporting standards.
Data Governance and Operational Analyst
DMX Logistics
Lagos
01.2018 - 02.2021
- Analysed logistics datasets using Excel and SQL to support planning, performance evaluation, and forecasting.
- Implemented data integrity checks that increased reporting consistency by 15 percent.
- Developed simple predictive models to support operational decision making.
Education
MSc - Artificial Intelligence and Data Science
University of East London
London, England 09/2025 -
Bachelor of Science - Computer Science
Kwara State University
01/2015 - 01/2018
Skills
Languages and Frameworks: Python, SQL, Pandas, NumPy, Scikit Learn, PyTorch, TensorFlow
Machine Learning: Classification, NLP, embeddings, model optimisation, feature engineering
Pipelines and Data Engineering: ETL and ELT design, data cleaning, orchestration concepts, validation, monitoring
Cloud and Big Data: Hadoop, Spark, Databricks familiarity, data lakes and warehousing concepts
Visual Analytics: Power BI, Tableau, Matplotlib, Seaborn
Governance and Safety: GDPR, Collibra, data privacy, data quality frameworks, documentation
Version Control and Collaboration: GitHub, JIRA, Confluence, CI principles
Certification
- Google Data Analytics Professional Certificate
- Certified Data Management Professional (CDMP) in progress
- AI Security and Governance
Technical Projects
Health NLP Prediction Model
- Built multiple NLP pipelines for predicting relapse risk using health narratives.
- Compared embedding based models including Word2Vec, TF IDF, and Sentence Transformers.
- Implemented evaluation metrics, cross validation, and monitoring for reproducibility.
Loan and Market Outcome Modelling
- Designed classification models in Python with grid search optimisation and ROC AUC evaluation.
Airbnb Market Insights Dashboard
- Conducted SQL based cleaning and built Tableau dashboards for pricing and occupancy trends.
Animal Classification using Transfer Learning
- Adapted GoogLeNet and AlexNet achieving 97.8 percent accuracy across 10 classes.
Professional Interests
Responsible AI, healthcare analytics, model safety, pipeline optimisation, continuous learning, volunteer work, reading, and football
Timeline
Data Analyst
Pryntd
06.2022 - Current
Data Governance Analyst
Envysion Ltd
03.2021 - 06.2022
Data Governance and Operational Analyst
DMX Logistics
01.2018 - 02.2021
MSc - Artificial Intelligence and Data Science
University of East London
09/2025 -
Bachelor of Science - Computer Science
Kwara State University
01/2015 - 01/2018