Projects

Sample Dashboards

My philosophy: I focus on simplifying real-world business questions through clear and effective solutions. I prioritize simplicity over unnecessary embellishments, delivering meaningful data visualization solutions.

Global Energy Consumption Project

This project involves conducting a comprehensive analysis using machine learning techniques to predict primary energy consumption per person.The workflow encompasses data cleaning, wrangling, exploratory data analysis, K-Means clustering, and modeling with techniques like Random Forest Regressor, Linear Regression, and KNN Regression.

Marketing analytics Project

Data analyst project optimizing marketing campaigns: Customer segmentation, predictive modeling, and insights for maximizing profitability based on customer behavior and campaign performance. Enhanced decision-making for targeted marketing strategies.

FIFA 21 Project

Predicting player market values to assist clubs in informed signings. Workflow encompassed data cleaning, wrangling, business case analysis, EDA, and predictive modeling.

Code Practices

Here are some code samples from my learning journey using Python and SQL. Practice is key to becoming a better analyst.