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Jason W - Microsoft Excel developer
Member since:Jun 08, 2021
Profile last updated:Jun 05, 2021
Last activity:Aug. 17, 2021, 11:39 p.m. UTC
United States of America

Jason W

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:   Microsoft Excel  ·  Jupyter  ·  Matplotlib  ·  Pandas  ·  Python  ·  Data visualization  · 
Weekly Availability: 21 hours
Mon 21 - 24 13 - 16
Tues 21 - 24 13 - 16
Wed 21 - 24 13 - 16
Thurs 21 - 24 13 - 16
Fri 21 - 24 13 - 16
Sat 14 - 20 06 - 12

Invite for Interview
Hourly Rate: $25.00
Experience: 5+ yrs
Microsoft Excel: 5+ yrs
Engineer's Devices:

LD Talent Work History

Average response time:
12.0 hours
Avg count of messages / Day:


Percussionaire     N/A     Student     Employment
Aug 2016 - Present

  • 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.

Skills used: Microsoft Excel

Udacity     Twitter Dogs Project     Student     Course Project
Nov 2021 - Dec 2021

  • 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

Skills used: Jupyter, Pandas, Python

Link to the github:
Thinkful     Happiness Index Project     Student     Course Project
Apr 2021 - Apr 2021

  • 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

Skills used: Jupyter, Matplotlib, Pandas

Link to the github:
Thinkful     Housing     Student     Course Project
Mar 2021 - Mar 2021
Real Estate

  • 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

Skills used: Microsoft Excel

Link to the github:
Udacity     Loan Visualization Project     Student     Course Project
Dec 2020 - Jan 2021

  • 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

Skills used: Jupyter, Matplotlib, Python, Data visualization

Link to the github:
N/A     COVID-19 Project     Developer     Passion Project
Jan 2021 - Jan 2021

  • 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

Skills used: Jupyter, Pandas, Python, Matplotlib

Link to the github:


University of Phoenix    B.Sc  (Information Technology)
Jun 2013 - Jul 2015


Data Analytics Flex Program    Thinkful
Jan 2021 - Apr 2021
Skills learnt: Python, Excel, Tableau, SQL, Data Analytics
Data Analyst Nanodegree    Udacity
Oct 2020 - Jan 2021
Skills learnt: Pandas, Data visualization, Python, Jupyter, Data Analytics