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Jason W - Microsoft Excel developerLD Talent logo

Jason W

The star rating is calculated by averaging the reviews provided by all clients the talent has worked with for a significant amount of time.

If such data is not available, the star rating is calculated from the fraction of work sessions approved by their past clients versus the total tracked by the talent.

If such data is not available, the star rating defaults to the interview rating of the talent at the time of the vetting process.

Other data including reviews from interviews are available on the talents’ profiles but do not influence their star rating, though they do influence their position in the search results.
Analyst Preferred Title
$25.00 /hr $ 20.0K /yr Hourly Rate and Yearly Salary
Overview Vetting Experiences Qualifications
Overview
Basic Summary
LD Talent History
  • Average Response Time 12.0 hours
  • Average Count of Messages/Day 0.6
  • Project Completion Rate 2/4
  • Interview Acceptance Rate 4/6
  • Timezone Overlap 21h PST, 6h UTC
Vetting Summary
  • Code Quality 60%
  • Soft Skill Attributes 60%
  • Expertise 2/3
  • Coding Challenges 60%
  • No. of Lifelong Learning Projects 2
  • No. of Coding Challenges Completed 2
  • More details
Interview Scores (3.0/5)
  • Software Engineering Process 3.0/5
  • Technical Breadth 3.0/5
  • Algorithmic Thinking 3.0/5
  • Technical Strength 3.0/5
  • Teamwork 3.0/5
  • Intellectual Merit 3.0/5
Talent's Devices
  • Desktop Windows
  • Phone iPhone
General
  • 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: 7 years
  • Microsoft Excel (2E, 6Y)

    2 experiences, across 6 years
  • Jupyter (4E, < 1Y)

    4 experiences, less than a year
  • Pandas (3E, < 1Y)

    3 experiences, less than a year
  • Python (3E, < 1Y)

    3 experiences, less than a year
  • Matplotlib (3E, < 1Y)

    3 experiences, less than a year
  • Data visualization (1E, < 1Y)

    1 experience, less than a year
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
  • Agile Development Process
  • Productivity and Responsiveness
  • Teamwork
  • Software Engineering
  • Logical Thinking
  • Technical Strength
  • Intellectual Merit
  • English Communication
  • Documentation
  • System Design
  • Coding Challenges
    60%
  • Algorithms Score
    60%
  • General Score
    60%
  • Easy Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Medium Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Hard Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Expertise
    2/3
  • Design Patterns and Architectures
    2/3
  • Debugging
    2/3
  • Stack Traces
    2/3
  • Testing
    2/3
  • System Administration
    2/3
  • Soft Skill Attributes
    60%
  • Entrepreneurial
    60%
  • Whole Brained
    60%
  • Divergent Thinking / Creativity
    60%
  • Design Ability
    60%
  • Empathy
    60%
  • Project Management Ability
    60%
  • Security
    60%
  • Code Quality
    60%
  • Complex Logic
    60%
  • Models
    60%
  • Controllers
    60%
  • Templates
    60%
  • APIs
    60%
  • Training/Testing Data Models
    60%
  • Code Readability
    60%
  • Ongoing Evaluation
  • Number of Lifelong Learning Project
    2
  • Number of Coding Challenge Completed
    3
  • Lifelong Learning Project 1
  • Lifelong Learning Project 1
  • Coding Challenges 1
  • Coding Challenges 2
  • Coding Challenges 3
Experience
Student
Employment
Aug 2016 - Present
Percussionaire Company
Manufacturing Industry
Project: N/A
  • Microsoft Excel
  • 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
  • Jupyter
  • Pandas
  • Python
  • 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
Github Links
  • https://github.com/jwestfall76/twitter-dogs-wrangling-project
Student
Course Project
Apr 2021 - Apr 2021
Thinkful Company
Government Industry
Project: Happiness Index Project
  • Jupyter
  • Matplotlib
  • Pandas
  • 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
Github Links
  • https://github.com/jwestfall76/happiness-index-project
Student
Course Project
Mar 2021 - Mar 2021
Thinkful Company
Real Estate Industry
Project: Housing
  • Microsoft Excel
  • 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
Github Links
  • https://github.com/jwestfall76/house-prices-excel
Student
Course Project
Dec 2020 - Jan 2021
Udacity Company
Finance Industry
Project: Loan Visualization Project
  • Jupyter
  • Matplotlib
  • Python
  • Data visualization
  • 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
Github Links
  • https://github.com/jwestfall76/loan-data-vis-project
Developer
Passion Project
Jan 2021 - Jan 2021
N/A Company
Healthcare Industry
Project: COVID-19 Project
  • Jupyter
  • Pandas
  • Python
  • Matplotlib
  • 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
Github Links
  • https://github.com/jwestfall76/covid19-project
Qualifications
Education
University of Phoenix
Jun 2013 - Jul 2015
B.Sc (Information Technology)
Courses
Data Analytics Flex Program
Jan 2021 - Apr 2021
Thinkful
  • Python
  • Excel
  • Tableau
  • SQL
  • Data Analytics
Data Analyst Nanodegree
Oct 2020 - Jan 2021
Udacity
  • Pandas
  • Data visualization
  • Python
  • Jupyter
  • Data Analytics
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