Analyzing Property Transaction Prices in Hong Kong in Python

EDA on Indian Premier League 2008-2020

This project provides R code for importing, processing, and visualizing datasets, including operations like selecting rows/columns, creating new columns, computation, merging, applying functions, counting, and visualization.

Using insights uncovered through the use of Python, guidance was provided on a marketing strategy for Instacart, based on a fabricated data set for this project. This project was completed as part of the CareerFoundry's curriculum.

Here there are some of the projects I did work for

Data wrangling, analysis, and prediction for Amazon book reviews.

Large dataset ETL of JSON and CSV files using pandas, regex, and export to SQL database

Distribution of male and female genders in the world population 1960-2023

Find the true Scala experts by exploring its development history in Git and GitHub.

cleaning data course with python

Learning "Pandas" Library

Large dataset ETL of JSON and CSV files using pandas, regex, and export to SQL database

This project involved analyzing Instacart's sales data to understand customer purchasing behaviors and optimize marketing strategies.

Accompanies a C# Corner article (URL TBD, stay tuned!)

Data Analysis and Data Merging

Merging of different datasets files of US baby names and EDA.

Modern hotel data system using SOLID principles with multi-layer architecture for fetching, normalizing, merging and serving data via API.

Use joining techniques to discover the oldest businesses in the world.

Using Python for data analyses of the online grocery shop Instacart to uncover sales patterns and reveal customer profiles.

This project focuses on cleaning and merging datasets — includes datasets related to cocaine seizures, government data, state lists, World Governance Indicators (WGI), and military expenditure (MILEX). The final cleaned dataset is saved in both CSV and RDS formats.