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Nafisat Abdulraheem

@nafisatabdulraheem

Data analyst at Oasis Infobyte who built fraud detection and customer segmentation models from real-world data.

At Oasis Infobyte, I built a credit card fraud detection model for highly imbalanced data, reaching 0.802 PR-AUC and 0.926 ROC-AUC on unseen test data. I also cleaned retail transaction records and used RFM features to segment customers.

For my final-year project at AFIT, I built an explainable stacking ensemble that recommends 22 crop types, achieving 99.55% test accuracy. I used cross-model SHAP analysis to identify the main drivers of its recommendations.

Experience

Work history, roles, and key accomplishments

OI

Data Analytics Intern

Oasis Infobyte

Sep 2026 - Oct 2026 (1 month)

Built a credit card fraud detection model on imbalanced data, achieving 0.802 PR-AUC and 0.926 ROC-AUC. Segmented customers using RFM features and built an end-to-end house price regression pipeline.

Python Pandas NumPy scikit learn XGBoost LightGBM SQL Excel Matplotlib SeaBorn Plotly SHAP RFM Analysis K Means Data Cleaning Feature Engineering Cross Validation Regex Winsorization

IH

Machine Learning Intern

Ihifix

Jul 2025 - Oct 2025 (3 months)

Built multi-class KNN classifiers using SMOTE to address class imbalance, achieving high accuracy on industrial datasets. Developed regression models and audited a loan approval classifier for performance issues.

Python scikit learn KNN SMOTE Feature Selection RFE Ensemble Methods Model Evaluation Accuracy F1 Score Feature Importance Analysis

SL

Data Analyst Intern

Skolak Resources Limited

Aug 2024 - Nov 2024 (3 months)

Wrote SQL queries for filtering and aggregation and prepared raw data in Excel for analysis. Trained in database and data lifecycle fundamentals.

SQL Excel Data Preparation Data filtering Data Aggregation Database Fundamentals (SQL Basics)

Education

Degrees, certifications, and relevant coursework

AA

Air Force Institute of Technology (AFIT)

Bachelor of Science, Computer Science

2022 - 2026

Pursued a Bachelor of Science in Computer Science, with coursework in data structures, algorithms, database management, and artificial intelligence.

Tech stack

Software and tools used professionally

GitHub

NumPy

Pandas

MySQL WorkBench

Python

scikit-learn

Git

SQL

XGBoost

SciPy

LightGBM

Seaborn

Matplotlib

Availability

Looking for a job

Location

Nigeria

Authorized to work in

Salary expectations

30k+ USD

Social media

Job categories

Data Analyst Machine Learning Engineer

Skills

Data Analysis Machine Learning predictive modeling Data Cleaning Feature Engineering Classification regression Clustering RFM Analysis Model Evaluation Cross Validation Explainable AI SHAP SMOTE K Means

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