Machine Learning - Financial Fraud Detection

Detecting financial fraud using Random Forest & XGBoost. The code is scalable, built of Python and needs to be run on GPU for faster processing.

Predict Calorie Expenditure

The Machine-Learning-Predict-Calorie-Expenditure project uses XGBoost to predict calorie expenditure for Kaggle’s Playground Series S5E5, achieving an MAE of 0.05909. It features engineered attributes and scripts for pre-processing and modelling.

Go Dady Mircobusiness Time Series Forecasting

Challenge is to forecast microbusiness activity across the United States, as measured by the density of microbusinesses in US counties.

Earthquake-Analysis-and-Prediction

This project will use machine learning models to predict future earthquakes. The project will use Linear Regression. The model will be trained on the dataset and it's performance will be evaluated on a held-out test set.

Flight Delay Prediction - Machine Learning

By analyzing the Airlines data on delays, cancellations, and on-time performance, airlines can identify trends and implement strategies to improve punctuality and mitigate disruptions.

European Soccer Game Analysis using SQL

This MySQL Notebook as a demonstration of SQL techniques, including CASE WHEN statements, subqueries, WITH statements, and window functions. The primary goal is to reinforce my own understanding of these techniques while providing a resource that may assist others in learning SQL. In this notebook,

Olympic Data Analysis using SQL

This is a historical dataset on the modern Olympic Games, including all the Games from Athens 1896 to Rio 2016. I have used CTEs, Window Functions and Sub Queries to explore the dataset and answer the questions.

Data Analysis - Customer Life Cycle Value

Customer lifetime value analysis is used to estimate the total value of customers to the business over the lifetime of their relationship. It helps companies determine how much to invest in customer acquisition and retention, and to identify the most valuable customers to prioritize for retention.