Afolasade Victoria, Data Scientist
C2 (Proficiency) English
Middle (3-5 years)
Summary
Data scientist with over 4 years of experience in implementing scalable ML solutions in finance and tech sectors, with a focus on credit risk and behavior prediction models. Expert in Python, PyTorch, SQL, and leveraging cloud technologies (AWS, GCP). Demonstrable achievements in enhancing churn prediction accuracy and user retention rates through advanced analytics. Proficient in setting up continuous integration and deployment pipelines using Docker, Airflow, and GitLab. Holds a Masters in Data Science and IBM Data Scientist certifications, with a strong foundation in computer science from the University of Lagos. The engineer's technical prowess, coupled with their methodical approach to A/B testing, ML pipeline development, NLP, and recommendation systems, makes them a strong candidate for sophisticated data science roles.
Main Skills
Python 4 yr.
PyTorch 4 yr.
SQL 4 yr.
AWS
GCP
AI & Machine Learning
Programming Languages
Python Libraries and Tools
Data Analysis and Visualization Technologies
Databases & Management Systems / ORM
Cloud Platforms, Services & Computing
Azure Cloud Services
UI/UX/Wireframing
QA, Test Automation, Security
SDK / API and Integrations
Version Control
Operating Systems
Other Technical Skills
Work Experience
Data Scientist, Behavioral Risk Model Deployment
Duration: Mar 2022 - Present
Summary: Developed and deployed behavioral risk models for churn and fraud detection, enhanced prediction accuracies and reduced user loss.
Responsibilities: Designed and deployed behavioral risk models, developed scalable ML pipelines, conducted model validation and monitoring, collaborated with team for real-time model serving with integrated logging.
Technologies: Python, PyTorch, Docker, Airflow, Azure
Machine Learning Engineer, Churn Prediction and Recommendation Systems
Duration: Jan 2021 - Mar 2022
Summary: Built recommendation systems and churn prediction models, designed A/B testing for ML experiments, optimized FastAPI-based model endpoints.
Responsibilities: Built recommendation systems, designed and analyzed A/B tests for ML experiments, deployed and optimized model endpoints, automated training and evaluation workflows, managed Git version control, and communicated with stakeholders.
Technologies: Python, FastAPI, AWS, GCP, MLflow, GitLab CI/CD, dbt
Data Scientist, FairLens - AI Bias Detection & Correction Tool
Duration: Mar 2025 - Apr 2025
Summary: Designed and built an AI bias detection and correction tool to promote AI fairness in machine learning models.
Responsibilities: Developed an AI bias detection and correction tool, designed functionalities to detect biases and provide correction recommendations.
Technologies: Python, scikit-learn, Fairlearn
Data Scientist, Movie Recommendation System
Duration: Aug 2023 - Present
Summary: Developed a transformer-enhanced movie recommendation system that integrates sentiment analysis and multilingual support.
Responsibilities: Built a next-generation recommendation system, integrated sentiment analysis, and handled multilingual user reviews to fine-tune recommendations.
Technologies: Python, PyTorch, NLP, Recommendation Systems
Data Scientist, Farming Automation Decision System
Duration: Sep 2024 - Jan 2025
Summary: Built a decision tree-based farming automation system for resource allocation in low-resource environments.
Responsibilities: Built a decision tree-based system, optimized resource allocation decision-making for better agricultural outcomes.
Technologies: Data Analysis, Decision Trees
Education
- Deakin University
- Masters in Data Science
- Sep 2023 - Present
- University of Lagos
- Bachelor of Science in Computer Science
- Jan 2017 - Jan 2021
Certification
- IBM Certified Data Scientist
- Oct 2023
- IBM Data Science Professional Certificate
- Coursera
- May 2023
- Data Science Certificate
- ExploreAI
- Oct 2022