Linkedin Connections Dashboard
This is a fun and quick Tableau dashboard to showcase my top LinkedIn connections.
Data Analyst | Creative Innovation Leader | Professional Multi-tasker
SQL | R | Tableau
email me: Kegan.Robinette@gmail.com
Data Analyst versed in SQL, R, Tableau, PowerBi
Find me on LinkedIn.
Multifaceted professional with 10+ years of experience in management, training, and marketing. Gained exposure in all aspects of business practices ranging from financial decisions, intellectual property, sources of supply, marketing strategy, and brand partnership relations. Highly adept at cultivating an understanding of industry-specific topics to help new professionals through training and development. Going from making people feel confident with themselves to making companies feel confident with their business decisions. I’ve spent the better part of a decade analyzing different types of data to make informed decisions and now I am building on my technical skills with Merit America and Coursera. Recent graduate of the Google Data Analytics Professional Certificate studying SQL, Tableau, R, etc. Please feel free to contact me via LinkedIn. I’m always looking forward to a new connection or insightful conversation.
11+ years of combined management, marketing and training experience has led to developed skills as a high-level collaborator in report analytics, creativity and visualization, and team management with expertise in Google Sheets and SalesForce.
I am a forever learner with a passion for knowledge. Please enjoy scrolling through my websites. Hope you enjoy!
This is a fun and quick Tableau dashboard to showcase my top LinkedIn connections.
This project includes an interactive dashboard in Microsoft Excel to showcase bike sales for a variety of customer specifications.
In this project, I imported and cleaned 18 datasets with millions of entries with SQL. I then analyzed the data and created a slideshow presentation for the Cyclistic Bike Share Marketing team and CEO.
I imported and cleaned 14 datasets with millions of entries with SQL. Joined all of the datasets together, created subsets of the data, and converted each attribute to the proper data type before performing analysis to find differences between subscribers and casual customers.
In this project, I cleaned and analyzed public Covid-19 data to determine what continents were most affected by the infection.
Once the Covid-19 dataset was cleaned and analyzed, I created different visualizations in Tableau to create a dashboard to show my results.