Anthony | Data Scientist | Data portfolio

Anthony

Data Scientist

Based in Lagos, Nigeria

About

I am Anthony, an emerging Data Scientist based in Lagos, Nigeria. I bring a dynamic blend of technical expertise and a passion for pristine work to the field. I have cultivated a strong foundation in analytical thinking and team collaboration, which I complement with specialized training in Data Science, Machine Learning, Python, Web Scraping, and Web Design. My technical proficiency spans a wide array of tools and techniques, including Data Visualization, Feature Engineering, Supervised learning, Frontend and Backend app development underpinned by my certification in the Applied Data Science Lab from WorldQuant University(verified via Credly). My diverse skill set make me a competitive candidate ready to tackle real world and complex challenges

Skills

Projects

Olist Customer Segmentation

This project applies machine learning to real e-commerce data from the Brazilian marketplace Olist to segment customers based on their purchasing behavior. It combines data science, API development, and web app deployment into one smooth pipeline.

Sentiment analysis for X posts

This project is my end-to-end implementation of a Twitter Sentiment Analysis Pipeline + Dashboard. It combines a Jupyter notebook (for preprocessing, sentiment analysis, and exploration) with a Streamlit app (for interactive visualization and deployment).

Telco Customer Churn Predictor

Welcome to the Telco Customer Churn Predictor! This is a full-featured data science project that demonstrates how to build, train, and deploy a machine learning model to predict customer churn (when customers cancel their service).

Employee-Engagement-Performance-Dashboard

This project implements an interactive HR analytics dashboard for analyzing employee performance, engagement, and salary trends using a synthetic dataset. The dashboard enables users to filter data by department, age, and performance category, visualize key metrics, and predict salaries for hypothet

Employee Attrition Prediction Project

Employee Attrition Prediction: Analyzes IBM dataset (1,470 records) via Jupyter for EDA, cleaning, SMOTE balancing, and modeling (LR & RF; 85% acc, 0.80+ AUC). Streamlit dashboard visualizes distributions (age/income by attrition, blue/red), importances, and predicts via sliders (e.g., young, low-pa

Ethereum Price Prediction

Prediction of ethereum price movement with XGBoost, transformers and precision score models. Usage of yfinance, mwclient and pandas libraries to get, load/dsiplay data from yahoofinance and wikipedia websites respectively. Data visualization with line graph.