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Nik-ui/README.md

Hi, I am Adenike (Nik) 👋🏾

Technology Product Manager • Data Scientist • Cybersecurity Researcher

I build data-driven products and security-focused machine learning solutions , from data pipelines and analytics to modelling, evaluation, and explainability.

🎓 Research & Publications

MSc Research
Exploratory Analysis of Cyberattack Patterns on E-Commerce Platforms Using Statistical Methods
DOI: https://doi.org/10.48550/arXiv.2511.03020

Published Review Article
Autonomous AI-Enabled Digital Twins for Socio-Technical Systems: Architectures, Autonomy Levels, and Governance — A Comparative Review
DOI: https://doi.org/10.69739/jcsp.v3i1.1550

☁️ Focus Areas
Cloud • Machine Learning • Data Engineering • Security Analytics

📍 Location: United Kingdom

What I Am Focused On

  • Cyberattack pattern analytics — analysing seasonality, severity signals, and threat indicators
  • Machine learning — classification, imbalance handling, and robust model evaluation
  • Explainability (XAI) — interpreting model behaviour and communicating insights clearly
  • Cloud & data engineering — scalable analytical workflows using Azure and AWS
  • Dashboards & storytelling — transforming raw data into decision-ready insights

🧰 Tools & Technologies

Languages

Python SQL

Data & Machine Learning

Pandas NumPy scikit-learn XGBoost LightGBM CatBoost

Visualisation & Analytics

Matplotlib Plotly Power BI

Cloud & Development

Azure AWS Git Jupyter

⭐ Featured Projects

Cyberattack Pattern Detection (MSc Research)
Statistical testing, forecasting, and machine learning modelling for seasonal and severity-based cyberattack trends.

Intrusion Detection Modelling
Multi-model evaluation with explainability-focused interpretation.

Cloud Data Pipeline
Scalable ingestion → cleaning → modelling workflows deployed on Azure and AWS.

Healthcare Analytics Dashboard
Power BI analytics exploring hospital admissions and community health indicators.

🌐 Connect With Me

Popular repositories Loading

  1. breast-cancer-classification breast-cancer-classification Public

    This project uses the Breast Cancer Wisconsin (Diagnostic) dataset to classify tumors as malignant or benign using machine learning models like Logistic Regression, KNN, SVM, Decision Trees, and Ra…

    Jupyter Notebook 2

  2. Exploratory-Report-of-Top-10-00-Songs-on-Spotify-1950-2023- Exploratory-Report-of-Top-10-00-Songs-on-Spotify-1950-2023- Public

    This projects' analyses the top 10,000 Spotify tracks (1950–2024) to visualise trends in audio features, genre, mood, and popularity.

    Jupyter Notebook 2

  3. Blockchain-Based-Healthcare-Record-System Blockchain-Based-Healthcare-Record-System Public

    Dual Implementation: Python Blockchain Simulation & Ethereum Smart Contract

    Jupyter Notebook 2

  4. Optimising-Cloud-Based-Data-Processing Optimising-Cloud-Based-Data-Processing Public

    Optimising Cloud-Based Data Processing: A Case Study on Azure and Near-Earth Object Analysis

    Jupyter Notebook 2

  5. Comprehensive-Exploratory-Analysis-and-Insights-from-E-Commerce-Transaction-Data Comprehensive-Exploratory-Analysis-and-Insights-from-E-Commerce-Transaction-Data Public

    E-commerce has revolutionized business operations by enabling seamless transactions and a global reach. Leveraging data insights is essential for optimizing operations in a competitive market. Busi…

    Jupyter Notebook 1

  6. Exploratory-Analysis-of-Cyberattack-Patterns-on-E-Commerce-Platforms-Using-Statistical-Methods. Exploratory-Analysis-of-Cyberattack-Patterns-on-E-Commerce-Platforms-Using-Statistical-Methods. Public

    Exploratory analysis of cyberattack patterns on e-commerce platforms using statistical forecasting and machine learning. Includes ARIMA, ANOVA, XGBoost/LightGBM/CatBoost models, SHAP interpretabili…

    Jupyter Notebook 1