micgonzalez
Data Science has opened my eyes to many experiences. I want to uncover insights that are useful to others.
The Walt Disney CompanyAnaheim, CA
Pinned Repositories
2023-Disneyland-Resort-Canoe-Races-AAR
This After-Action Report presentation deck was created to inform fellow employees of this company tradition of canoe racing, which is seen as a moral boosting and team building event.
311-data
Empowering Neighborhood Associations to improve the analysis of their initiatives using 311 data
Automated-Labeling-Tool
This automated labeling tool was created to streamline the data scrubbing process which looks for common words used in an excel file and replaces empty or N/A labels cells with the correct information.
Comment-Trends-Dashboard
This dashboard is like one which included visual charts that conveyed weekly comments from Guests. The original dashboard was one of my projects that was featured in my Data Analyst job at The Disneyland Resort. The dashboard informed resort management from Attractions to Retail of any upcoming trends.
Data-Modeling-in-Excel
This repository is based on making a data model, creating a pivot table and then pivot charts in the Excel program. I was tasked to create two visualizations for a meeting.
Data-Science-for-All-Retail-Challenge
This presentation deck was created as a project for the retail challenge for Data Analysts. This presentation project was part of the Data Science for All Fall Cohort challenge. Tasked to present trends from the provided data and provide marketing recommendations.
Data-Visualization-of-Pokemon-Data-with-Python-and-Seaborn_side_project
Have you always wanted to make visuals of pokemon data? I found a csv file that has stats on most of the pokemon and I used python, seaborn and matplotlib to make some cool visualizations. This work was sampled from a cool tutorial on seaborn's great visualizations(https://elitedatascience.com/python-seaborn-tutorial#step-1). This covers a good summary of Seaborn’s strengths. In practice, the “well-defined set of hard things” includes: Using default themes that are aesthetically pleasing, making attractive statistical plots, visualizing information from matrices and data frames. I have included the work in a jupyter notebook file and the csv file that has the pokemon data used for this side project.
Disneyland-Resort-Reviews-Report
This report is like the weekly report done in my Data Analyst job at The Disneyland Resort. The weekly report updates resort management, executives, and vice presidents from all lines of business of overall and drill downed trends for the week. It informs these leaders of which offerings went well and what needs to be improved.
Holidays-at-DLR-2022-ARR
This after-action report is like the reports that are created for a special event at The Disneyland Resort. This report is focused on the holiday season at The Disneyland Resort for 2022. This after-action report recaps the trends for the holiday season. This report has been sent to the planning committee for the special event.
lucky-parking
Helping the city planners and the community make informed decisions about parking policies in the City of Los Angeles.
micgonzalez's Repositories
micgonzalez/Data-Visualization-of-Pokemon-Data-with-Python-and-Seaborn_side_project
Have you always wanted to make visuals of pokemon data? I found a csv file that has stats on most of the pokemon and I used python, seaborn and matplotlib to make some cool visualizations. This work was sampled from a cool tutorial on seaborn's great visualizations(https://elitedatascience.com/python-seaborn-tutorial#step-1). This covers a good summary of Seaborn’s strengths. In practice, the “well-defined set of hard things” includes: Using default themes that are aesthetically pleasing, making attractive statistical plots, visualizing information from matrices and data frames. I have included the work in a jupyter notebook file and the csv file that has the pokemon data used for this side project.
micgonzalez/2023-Disneyland-Resort-Canoe-Races-AAR
This After-Action Report presentation deck was created to inform fellow employees of this company tradition of canoe racing, which is seen as a moral boosting and team building event.
micgonzalez/311-data
Empowering Neighborhood Associations to improve the analysis of their initiatives using 311 data
micgonzalez/Automated-Labeling-Tool
This automated labeling tool was created to streamline the data scrubbing process which looks for common words used in an excel file and replaces empty or N/A labels cells with the correct information.
micgonzalez/Comment-Trends-Dashboard
This dashboard is like one which included visual charts that conveyed weekly comments from Guests. The original dashboard was one of my projects that was featured in my Data Analyst job at The Disneyland Resort. The dashboard informed resort management from Attractions to Retail of any upcoming trends.
micgonzalez/Data-Modeling-in-Excel
This repository is based on making a data model, creating a pivot table and then pivot charts in the Excel program. I was tasked to create two visualizations for a meeting.
micgonzalez/Data-Science-for-All-Retail-Challenge
This presentation deck was created as a project for the retail challenge for Data Analysts. This presentation project was part of the Data Science for All Fall Cohort challenge. Tasked to present trends from the provided data and provide marketing recommendations.
micgonzalez/Disneyland-Resort-Reviews-Report
This report is like the weekly report done in my Data Analyst job at The Disneyland Resort. The weekly report updates resort management, executives, and vice presidents from all lines of business of overall and drill downed trends for the week. It informs these leaders of which offerings went well and what needs to be improved.
micgonzalez/Holidays-at-DLR-2022-ARR
This after-action report is like the reports that are created for a special event at The Disneyland Resort. This report is focused on the holiday season at The Disneyland Resort for 2022. This after-action report recaps the trends for the holiday season. This report has been sent to the planning committee for the special event.
micgonzalez/lucky-parking
Helping the city planners and the community make informed decisions about parking policies in the City of Los Angeles.
micgonzalez/Luigi-Data-Pipeline-with-Python
This repository is based on scraping data from a static website through Luigi. This was created to display my ability to utilize the Luigi pipeline to automatically collect data and other tasks.
micgonzalez/micgonzalez.github.io
Data Science Portfolio
micgonzalez/MySQL-Soccer-Players-Stats-Database
This repository displays the findings from pulling data from a remote My SQL database and create data visualizations. This was a freelance project for a soccer facebook group..
micgonzalez/Pivot-Table-in-Excel
This repository is based on creating a pivot table in the Excel program. I was tasked to created one for a status update.
micgonzalez/Showcase-of-Data-Science-Experiments
This repository is where experiments with Data Science are showcased. This will be range of different projects from all aspects of Data Science.
micgonzalez/Stout-Global-Investments-Case-Studies
This repository is based on Stout Global Investments' Case Studies. These case studies will have two projects that will include analyses and visualizations of the data.