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Highlight Projects
 

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1 / Master MRP: A Machine Learning Approach on Classifying Ethereum Transactions

Given mainstream media saying crypto is mainly used for bad reasons, this preliminery analysis will seek if there is any truth to that.

2/ Toronto Theft From Motor Analysis

From Toronto Police Public Dataset, we performed an analysis on the trend of theft over the years, specifically from 2013 to 2022. You can read a detail report here: https://www.jhnthenewbie.com/post/toronto-theft-from-motor-vehicle-analysis

3/ Bike Rending Analysis

From the Kaggle dataset published by the company, we perform analysis to discover interesting seasonal and temporal trends. Then, we suggest suitable pricing suggestion to help the company maximize profit and operation. You can read a detail report here: https://www.jhnthenewbie.com/post/uncovering-actionable-insights-seasonal-trend-in-bike-rental-data-analysis

4/ Bank Chunk Analysis

From the Kaggle dataset of an imagenary bank, we perform analysis to discover interesting temporal pattern and customer behaviour insight. Then, we identified suspicious bank accounts based on age, occupation and location. You can read a detail report here: https://www.jhnthenewbie.com/post/maximizing-customer-lifetime-value-through-predicting-churn-rate-a-machine-learning-approach

5/ Spotify 2023 Music Analysis

Uncover the 2023 music trend on Spotify with a data-driven analysis. From high-energy beats to release patterns, delve into the pulse of music culture.. You can read a detail report here: https://www.jhnthenewbie.com/post/decoding-spotify-2023-music-trend-a-data-driven-analysis

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