Data Scientist with experience in software development. Currently focused on building responsible machine learning solutions.

Recent Projects

Project on Bankruptcy

Predict Bankruptcy

Introducing our innovative bankruptcy-predicting model built with a Random Forest classifier! Leveraging advanced machine learning techniques, our model analyzes a diverse set of financial indicators to accurately predict the likelihood of bankruptcy for businesses. By harnessing the power of Random Forest algorithms, we provide robust and reliable predictions, empowering organizations to proactively mitigate financial risks and make informed decisions to safeguard their investments.

Exploratory Data Analysis, Data Preprocessing, Modelling, Feature Extraction, Model Exportation

Stock Volatility

Introducing our cutting-edge time series volatility-predicting model built with an ARCH (Autoregressive Conditional Heteroskedasticity) model! Our model utilizes sophisticated econometric techniques to analyze historical data and forecast future volatility levels in financial markets. By incorporating ARCH modeling, we accurately capture the time-varying nature of volatility, enabling investors and financial institutions to make informed decisions and manage risk effectively in dynamic market environments.

Working with APIs, Build Data Profile and plots, Time Series Analysis,Identification and creation of features (Feature Engineering), Modelling and Review of used models

Project on Predicting House Prices - Advanced Regression Techniques

App Predict House Price

Introducing our state-of-the-art house price-predicting model built with advanced regression techniques! Leveraging powerful machine learning algorithms, our model analyzes a multitude of housing-related factors to provide accurate predictions of property prices. By employing advanced regression techniques, including Ridge, Lasso, or Elastic Net regression, we ensure robust and reliable predictions, empowering buyers, sellers, and real estate professionals to make informed decisions in the dynamic housing market. Training data from Nigeria 2000 - 2004

Data Preprocessing, Data Visualization, Modelling, Analysis and Summary

Data Scrapping: Language Card Game

Introducing our Python-based language learning flashcard program! Designed to enhance your language learning experience, our program utilizes Python's versatility and simplicity to create an interactive and customizable platform for mastering new vocabulary and phrases.

Data Scraping, Data Wangling, Use Interface, Just for Fun