Dragos U.

Dragos U.

ChisinauMoldova
Rising Talent

Data Design & Visualization | Data Analyst, Information Analysis

Data Analyst who loves to examine data to find key customer insights and potential uses for the information to make the best business decisions. I recently graduated from Udacity Nanodegree Program. I would love to continue reviewing data for businesses and to combine my love of data and programming with my expertise in data analysis.
No items

Portfolio

Real-world data rarely come clean. Using Python and its libraries, I gathered data from a variety of sources and in a variety of formats, assess its quality and tidiness, then clean it. I have documented the wrangling steps in a Jupyter Notebook, plus showcased them through analyses and visualizations using Python (and its libraries). The aforementioned dataset is the tweet archive of Twitter user @dog_rates, also known as WeRateDogs. WeRateDogs is a Twitter account that rates people's dogs with a humorous comments about the dog. These ratings almost always have a denominator of 10. The numerators, though? Almost always greater than 10. 11/10, 12/10, 13/10, etc. Why? Because "they're good dogs Brent." WeRateDogs has over 4 million followers and has received international media coverage. WeRateDogs downloaded their Twitter archive and sent it to Udacity via email exclusively for the students to use in one of the projects. This archive contains basic tweet data (tweet ID, timestamp, text, etc.) for all 2000+ of their tweets as they stood on August 1, 2017.
Wrangle and Analyze Data
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Dragos U.

Dragos U.

ChisinauMoldova
Rising Talent
1
Total Jobs
141
Total Hours

Data Design & Visualization | Data Analyst, Information Analysis

Specializes in
Data Analyst who loves to examine data to find key customer insights and potential uses for the information to make the best business decisions. I recently graduated from Udacity Nanodegree Program. I would love to continue reviewing data for businesses and to combine my love of data and programming with my expertise in data analysis.
No items

Portfolio

Real-world data rarely come clean. Using Python and its libraries, I gathered data from a variety of sources and in a variety of formats, assess its quality and tidiness, then clean it. I have documented the wrangling steps in a Jupyter Notebook, plus showcased them through analyses and visualizations using Python (and its libraries). The aforementioned dataset is the tweet archive of Twitter user @dog_rates, also known as WeRateDogs. WeRateDogs is a Twitter account that rates people's dogs with a humorous comments about the dog. These ratings almost always have a denominator of 10. The numerators, though? Almost always greater than 10. 11/10, 12/10, 13/10, etc. Why? Because "they're good dogs Brent." WeRateDogs has over 4 million followers and has received international media coverage. WeRateDogs downloaded their Twitter archive and sent it to Udacity via email exclusively for the students to use in one of the projects. This archive contains basic tweet data (tweet ID, timestamp, text, etc.) for all 2000+ of their tweets as they stood on August 1, 2017.
Wrangle and Analyze Data
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Less than 30 hrs/week