Data Science Portfolio

A repository of data science projects. It's updated regularly, to see full analysis and code enter the project.

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Machine Learning Models:

With Jupyter Notebook:

• Financial_Fraud_Detection: Anomaly detection semi-supervised IF (Isolatino Forest), LOF (Local Outlier Factor), OCSVM (One-Class Support Vector Machine) models and an Ensemble Voting Model of the individual models with Financial Fraud dataset.

• ML-CNN_CIFAR10: Convolutional Neural Network (CNN) models using Python, Scikit-learn, TensorFlow and Keras for a multi-class image classification problem using the CIFAR-10 dataset.

• ML-ANN_Bank: Feedforward artificial neural networks (ANNs) using Python, Scikit-learn, TensorFlow and Keras for binary classification tasks in the finance sector.

Data Analysis and Visualisation:

With Jupyter Notebook:

• KeepItOn: EDA and Task Analysis Assignment made with Python (Pandas, Seaborn and Matplotlib).

With SQL:

• CocktailsDE: Task Analysis Challenge made with PostgreSQL.

With Spreasheets & Slides:

• BoulderSandS: Data Cleaning and EDA made with Google Spreadsheets and Slides.

API Integration and Interactive Dashboard:

With Flask-Restful and Power BI:

• WomensBoulder: Flask RESTful API and Power BI Interactive Dashboard Visualization.

Console-Based Softwares:

With Python:

• MathQuiz: Console-Based Quiz in Python.
• LibrarySystem: Console-Based System in Python.