Jack_Portfolio

This portfolio is a place where all of the projects I've worked on are stored.

Completed Projects

Fifa 21 Data Cleaning Project (Data Cleaning)

Project Highlights:

• Leveraged a popular football(soccer) dataset in the field of Data Science and Analysis.
• Applied comprehensive data exploration, cleaning, and feature engineering.
• Utilized Jupyter Notebook and popular Python libraries including Pandas and NumPy for data manipulation.
• Showcased proficiency in data cleaning practices and laid the foundation for subsequent data analysis tasks.

2023 Stack Overflow Survey Analysis (Data Analysis)

Project Highlights:

• Leveraged a popular annual survey dataset to do some Data Analysis.
• Applied comprehensive data exploration, cleaning, and feature engineering techniques to extract meaningful insights from the raw data.
• Utilized Jupyter Notebook and popular Python libraries including Pandas and NumPy for data manipulation.
• Showcased proficiency in data analysis practices.

Maui, Hawaii AirBnB Analysis (Data Visualization)

• This is a project to show the basic information on a visual dashboard.
• Doing Data Analysis/ data cleaning using Python (pandas and numpy) with the add of visualisation tools (Tableau)
• Tableau Dashboard Maui
• Tableau Dashboard All Islands

Current Ongoing Projects

London Bike Sharing Project (Data Visualization)

• Leveraged a foreign dataset to show some visualization processes.
• Applied Python coding techniques to properly clean, explore and visualize the data.
• Utilized Jupyter Notebook and popular Python libraries including Seaborn and Matplotlib for Data Visualization.
• Showcased Proficiency in Data Visualization.
• Used Tableau Public to show case a Dashboard on the data. It can be found here: (Link coming soon)

Other Projects

Titanic Survival Analysis (Data Analysis)

• A common data set used by all learners of Data Science and Analysis.
• Used data exploration, cleaning, feature engeneering, to get valuable insite on the data presented.
• Jupyter Notebook, Python(Pandas, Matplotlib, numpy, seaborn), Machine Learning. _nc_ht=scontent.fhnl3-2.fna&oh=00_AfAnX1PJHBxtC3P7AXfEtkYV9AmZDhr8-x772fyruSOwsQ&oe=64C347C7)

Tokyo Resturant Recommender (Data Science/ Analysis)

• Image you're in Tokyo and you're hungry, but you don't know what to eat. You pull out your phone and are bombarded with more options then you  know what to do with. Oni-giri will select either at random or with some bias (your user info) to give you a selection of restaurants in your ward until you find something you like.
• Our four man team is currently trying to build a restaurant recommender for the Tokyo metropolitan area.
• It is a mixture of front end and back end, but I found, cleaned, and exported the correct data to the specified file type (json).
• Jupyter Notebook, Python(Pandas, Matplotlib, Numpy.)

Space Titanic Analysis and Predictons (Data Science/ Analysis)

• Using a data set I found on Kaggle Call Space Titanic.
• Used data explorations, cleaning, feature engineering, to get valuable insites and make predictions on the data.
• Jupyter Notebook, Python(Pandas, Matplotlib, numpy, seaborn), Machine Learning.