Experience

My work sits at the intersection of data science, machine learning engineering, and practical business execution. I have built systems across insurance, education technology, and client projects, from large scale data processing and ML APIs to AI evaluation pipelines and production model deployment.

Professional Experience

  1. Data Scientist - AXA Mansard

    February 2022 to Present
    • Engineered a healthcare service matching pipeline that mapped approximately 8 million legacy tariff records to about 300,000 standardised services using cosine similarity, fuzzy matching, and batched processing.
    • Built and deployed a FastAPI based car valuation service using machine learning models, enabling real time vehicle pricing and reducing reliance on external pricing vendors.
    • Automated ETL pipelines with Python and SQL to extract, transform, and load production data into analytics systems, supporting more than 20 operational dashboards and eliminating manual data transfer workflows.
    • Developed and deployed a personalised product recommendation system using Python and SQL to support targeted cross sell strategies across customer segments.

    Machine Learning · Data Engineering · Healthcare AI · Insurance Analytics · FastAPI · Python · SQL

  2. Machine Learning Engineer, Contract - ExamRocket

    January 2025 to November 2025
    • Redesigned AI model provider integrations using asynchronous execution, batching, request deduplication, retries, timeouts, and fallback handling, increasing throughput and reducing latency by 30 percent.
    • Owned production deployment and operational reliability of AI components, implementing monitoring, error handling, and resilient execution flows to support stable real time evaluation.

    AI Systems · Model Provider Integrations · Asynchronous Processing · Reliability · Monitoring · Production Deployment

  3. Machine Learning Engineer, Freelance - Fiverr

    October 2020 to February 2022
    • Designed and delivered more than 40 machine learning solutions spanning forecasting, classification, recommendation, NLP, computer vision, and time series modelling across multiple client domains.
    • Built reusable data pipelines, preprocessing workflows, and model evaluation frameworks using Python and SQL to support both model training and production inference across client projects.
    • Deployed machine learning services using Flask, FastAPI, Docker, and GCP, converting trained models into production applications used within client workflows.

    NLP · Computer Vision · Forecasting · Recommendation Systems · APIs · Model Deployment

  4. Data Science Intern - Hamoye

    June 2020 to December 2020

    Worked on predictive modelling, NLP classification, exploratory analysis, and collaborative data science projects during the early stage of my machine learning career.

Community, Teaching & Leadership

  1. AXA Data Science Community

    Co-led the community and taught practical data science concepts and applications to more than 40 employees.

  2. Part-time Trainer - Rubies Technologies

    May 2025 to November 2025

    Delivered virtual student training, prepared weekly and monthly student progress reports, gave feedback on student development, and participated in skill-development meetings and programs.

  3. Data Science Nigeria

    Recognised in Data Science Nigeria material as an AI in Every City tutor, with active participation in competitions and community learning.

  4. Google Developer Student Community, University of Lagos

    Member and mentor during university.

Education & Credentials

  1. University of Lagos - B.Sc. Computer Science

    2025 · Second Class Upper · GPA 4.05 / 5.00

    Studied core computer science areas including algorithms, data structures, databases, operating systems, computer networks, and software engineering.

  2. DataCamp - AI Engineer for Data Scientists Associate

    Issued June 2026

    Practical AI engineering skills for data scientists and applied AI workflows.

  3. McKinsey.org Forward Program

    Completed 2025

    Completed learning focused on structured problem solving, communication, adaptability, resilience, relationship building, and self leadership.

Technical Skills

  • Languages

    Python, SQL

  • Machine Learning

    PyTorch, TensorFlow, Scikit-learn, Transformers, NLP, Computer Vision

  • Data Engineering

    ETL Pipelines, Spark, BigQuery, Databricks

  • APIs & Backend

    FastAPI, Flask, REST APIs

  • Cloud & Infrastructure

    GCP, Docker, Kubernetes, CI/CD

  • ML Operations

    MLflow, Monitoring, Logging

  • Developer Tools

    Git, Linux, Jupyter, Postman

Resume

A concise overview of my professional experience, technical work, education, and selected achievements.

Download Resume