Customer Segmentation with a credit card transaction dataset using PCA and DBSCAN

Customer segmentation helps in enabling companies to identify patterns and behaviors within their customer base. This project outlines my significant contribution, which involved the implementation of the DBSCAN clustering algorithm in conjunction with PCA for dimensionality reduction.

TWITCH top 1000 streamers all around the globe

Visualizing twitch streamers dataset and produce valuable insights in the world of streaming platform. By employing various data visualization tools and methods, I extracted valuable insights into the dynamic world of streaming platforms.

FRAUD VS. NOT FRAUD : A BANK ACCOUNT PREDICTION WITH GBM

The increasing prevalence of fraudulent accounts in banks, due to evolving fraud tactics and the complex financial systems, can be mitigated through the implementation of regression analysis and machine learning algorithms. These tools offer the potential to prevent and detect such actions.

ONLINE VS BLENDED LEARNING: A Comparative Analysis Based on Student Preference for MSU-IIT Statistics and Mathematics Students

A group project where we did a Pilot survey and compare the preferred learning mode by mathematics and statistics students in MSU-IIT who experienced the pandemic online class and hybrid learning in 2022 back to school.