Jason W
The star rating is a representation of the overall rating, calculated as the mean of the client satisfaction rating, the average client interview rating, and internal interview scores.
The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.
If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.
If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
Analyst Preferred Title
$25.00 /hr $ 20.0K /yr Hourly Rate and Yearly Salary
Overview
Basic Summary
LD Talent History - Average Count of Messages/Day 0.6
- Project Completion Rate 2/4
- Interview Acceptance Rate 4/6
- Timezone Overlap 21h PST, 6h UTC
- Software Engineering Process 3.0/5
- Design Practice 3.0/5
- Design Theory 3.0/5
- Technical Breadth 3.0/5
- Logical Thinking 3.0/5
- Technical Strength 3.0/5
- System Design 3.0/5
- Productivity and Responsiveness 3.0/5
- Teamwork 3.0/5
- Agile Development Process 3.0/5
- Intellectual Merit 3.0/5
- Documentation 3.0/5
- Desktop Windows
- Phone iPhone
- Member Since Jun 08, 2021
- Profile Last Updated Jun 05, 2021
- Last Activity Aug. 17, 2021, 11:39 p.m. UTC
- Location United States of America
Profile Summary
I am a Data Analyst that is proficient in using Python, SQL, Tableau and Excel to examine data and find insights or patterns. I am passionate about looking at data while trying to find answers to whatever question arises.
Skills
Total Experience: 9 years
Microsoft Excel (2E, 9Y)
2 experiences, across 9 yearsJupyter (4E, 2Y, 1C)
4 experiences, across 2 years, with 1 coursePandas (3E, 1C)
3 experiences, with 1 coursePython (3E, 2Y, 2C)
3 experiences, across 2 years, with 2 coursesMatplotlib (3E, 2Y)
3 experiences, across 2 yearsData visualization (2Y, 1C)
2 years of experience, with 1 courseExcel (1C)
1 courseTableau (1C)
1 courseSQL (1C)
1 courseData Analytics (2C)
2 courses
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 21h PST, 6h UTC
Day
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
21 - 24
21 - 24
21 - 24
21 - 24
21 - 24
14 - 20
PST
14 - 17
14 - 17
14 - 17
14 - 17
14 - 17
07 - 13
Vetting
- Interview Data
- Software Engineering Process
- Design Practice
- Design Theory
- Technical Breadth
- Logical Thinking
- Technical Strength
- System Design
- Productivity and Responsiveness
- Teamwork
- Agile Development Process
- Intellectual Merit
- Documentation
Experience
Student
Employment
Aug 2016 - Present
Percussionaire Company
Manufacturing Industry
Project: N/A
- Collaboration with other co-workers to produce products within a certain time-frame
- Minor project management experience coordinating with co-workers as well as managers on how to efficiently get a project completed
- Need attention to detail assembling various products to meet quality standards
- Used Microsoft Excel for some work procedures.
Student
Course Project
Nov 2021 - Dec 2021
Udacity Company
Research Industry
Project: Twitter Dogs Project
- Programmed in Python using Jupyter Notebook focusing on wrangling and cleaning
- Gathered data from three different sources, then used techniques in Pandas to wrangle and clean data
- Wrote reports dealing with the wrangling process as well as writing reports on the insights of the data
Student
Course Project
Apr 2021 - Apr 2021
Thinkful Company
Government Industry
Project: Happiness Index Project
- Programmed in Jupyter Notebook then uploaded to Google Colab
- Used Pandas to load in dataframe and filtered it to use columns I wanted to make the analysis
- Used Pearson Correlations to compare different factors to Happiness Index
- Used Hypothesis Testing and T-Tests to test statistical significance between two of the six factors
- Visualized Pearson Correlations and T-Tests using Seaborn and Matplotlib
Student
Course Project
Mar 2021 - Mar 2021
Thinkful Company
Real Estate Industry
Project: Housing
- Project done in Microsoft Excel
- Looked at three different factors to see if it had statistical significance affecting housing prices
- Conducted two different T-Tests and one Z-Test for statistical significance looking at p-value and critical values
- Found confidence intervals for each of the three factors and made bar graphs
Student
Course Project
Dec 2020 - Jan 2021
Udacity Company
Finance Industry
Project: Loan Visualization Project
- Programmed in Python using Jupyter Notebook looking at factors that influenced a borrower's interest rate
- Used Matplotlib and Seaborn to conduct exploratory data visualization
- Explored data using univariate, bivariate, and multivariate comparisons
- Created explanatory notebook illustrating the most relevant visualizations that affected borrower rate
Developer
Passion Project
Jan 2021 - Jan 2021
N/A Company
Healthcare Industry
Project: COVID-19 Project
- Passion project to find out demographics of Covid-19 deaths
- Programmed in Python using Jupyter Notebook
- Used Pandas to wrangle dataframe and created visualizations in Seaborn and Matplotlib
- Created report in Microsoft Word looking at different demographics that were susceptible to death by Covid-19
Qualifications