Sunday Falade | Data Analyst | Data Scientist

Data Analyst | Telling stories with Data

MSc Data Science graduate with a background in UI/UX design. I build end-to-end dashboards using data model schemas and custom DAX, I have also use SQL and Python across academic and hackathon projects. My retail experience at Primark and Sports Direct gave me a practical understanding of customer behaviour and fast-paced operations, all of which inform how I approach data in a business context and I'm excited to bring this unique mix of technical, analytical, and people skills to deliver value in a data-focused role.

Projects

More Projects 👇

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Credit Risk Classification using Machine Learning

Evaluated and compared predictive models, including Random Forest, Decision Tree, XGBoost, Support Vector Machine, LightGBM, and Logistic Regression, for credit risk prediction using metrics such as accuracy, precision, recall, F1-score, and ROC-AUC to identify the best-performing algorithm.

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Comparative Analysis of Support Vector Machine, Decision Tree, and Random Forest Algorithm on UCI Census Income Dataset

This report compares the performance of three classification models, namely Support Vector Machine (SVM), Decision Tree Classifiers, and Random Forest Classifier. The goal is to assess the effectiveness of these models in classifying outcomes when applied to a real-world dataset like the UCI census income dataset. The UCI dataset, consisting of approximately 32,000 records and 14 attributes, was selected for its multivariate data such as the categorical (e.g., occupation, education) and numerical (e.g., age, hours-per-week) features. The classification task is to determine if an individual’s annual income > $50,000 or ≤ $50,000.

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Synthetic database generated using SQLite and Pandas (Python)

A synthentic database randomly generated using python and SQLite

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View more projects on GitHub

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Skills

Programming & Query Languages → SQL, Python (Pandas, Numpy, Seaborn, Matplotlib, Scikit-Learn)
Visualisation Tools → Power BI (DAX, ****Data Modelling, Power Query), Excel
Databases → Microsoft SQL Server, PostgreSQL
Development Environment → Jupyter Notebook, GitHub, Google Colab
Analytical Methods → Machine Learning, Statistical Analysis, Data Cleaning & Wrangling, Data Visualisation & Storytelling
Soft Skills → Stakeholder Management, Critical & Analytical Thinking, Adaptability, Communication & Storytelling, Problem Solving, Agile & Cross-Functional Collaboration, Attention to Detail

Connect with me

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[email protected]

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+447501979899

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Github

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