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  • 01.About
  • 02.Skills
  • 03.Projects
  • 04.Experience
  • 05.Education
  • 06.Contact
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  • 01About
  • 02Skills
  • 03Projects
  • 04Experience
  • 05Education
  • 06Contact
Portfolio
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Fisayo Ajayi

—

Data Engineer

Lagos·5 yrs exp

Data engineer with 5 years in Python and machine learning. Delivered predictive models and data pipelines for business growth

01Built data warehouses handling 100k+ daily records with Python and AWS02Developed machine learning models with scikit-learn and TensorFlow for customer segmentation03Designed ETL pipelines with Apache Beam for real-time data processing
02.

About

01Bio
Bio

Data Engineer with 5 years of experience building and deploying machine learning models using Python.

Data Engineer with 5 years of experience building and deploying machine learning models using Python.

02Story
Story

Started in data science, shifted focus to engineering after realizing the importance of scalable infrastructure and data pipelines.

Started in data science, shifted focus to engineering after realizing the importance of scalable infrastructure and data pipelines.

03Currently
Currently

Designing and implementing data pipelines for large-scale machine learning workloads.

Designing and implementing data pipelines for large-scale machine learning workloads.

04Approach
Approach

Strong focus on data quality, observability, and reliability in data engineering projects.

Strong focus on data quality, observability, and reliability in data engineering projects.

Skills

Other

1 skill
01Jupyter Notebook
03.

Selected Work

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01Featured Project

credit-card-fraud-detection

Fraud detection model using imbalanced classification and machine learning

  • —Built a machine learning model to detect credit card fraud using imbalanced classification techniques
  • —Implemented data preprocessing and feature engineering to improve model accuracy
  • —Designed a model evaluation framework to assess the performance of the fraud detection model
PythonJupyter NotebookMachine Learning
Code1
No Preview
02Featured Project

customer-spend-prediction

Predicting customer spending and optimizing platform strategy using linear regression

  • —Implemented a linear regression model to predict customer spending based on demographic and transactional data
  • —Designed a data pipeline to collect and preprocess customer data for model training
  • —Added feature engineering techniques to improve model accuracy and interpretability
PythonJupyter NotebookLinear Regression
Code1
No Preview
03Featured Project

loan-default-risk-model

Credit risk modeling for loan default prediction using Lending Club data

  • —Built a machine learning model to predict loan default risk using Lending Club data
  • —Implemented data preprocessing and feature engineering to handle missing values and outliers
  • —Designed a model evaluation framework to assess the performance of the loan default risk model
PythonJupyter NotebookMachine Learning
Code1
More Work
No Preview

cancer-risk-analysis

Predictive modeling for cancer patient risk analysis using machine learning

PythonJupyter NotebookMachine Learning
1
Apr 2026
No Preview

Sales-Performance-Customer-Analytics

PythonJupyter Notebook
1
Apr 2026

Contact

Get in touch
Available for work

Building scalable ML systems

Available for senior data roles. Expert in Python and ML.

fisayobanjiajayi@gmail.com
Lagos
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