Work With High Performing Talents On Demand

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Peter Faasse

Peter Faasse

Data Science Developer

Data analysis & business intelligence expert.

As a data scientist, Peter Faase has expertise in solving complicated data problems and working with Big Data to generate useful insights, intelligence, and applications. Combining his strong communication, presentation, and analytical skills, he has created data-driven solutions for organizations by designing and running complex data analyses trajectories using machine learning, predictive analyses, Artificial Intelligence (AI), and other statistical and mathematical techniques. He is skilled with tools such as Python, MySQL, SPSS, and Excel and also familiar with Agile Scrum techniques.

Digital Marketing
Data Visualizations
Scrum
Data Mining & Management
Quantitative Analysis
Artificial Intelligence
Big Data
Business Intelligence
Data Science
Machine Learning
MySQL Programming
Python
Market Research
Research
Agile Development
Data Analysis
Consumer Insights
Data Analytics
Tableau
Statistical Model
Peter Faasse

Peter Faasse

Data analysis & business intelligence expert.

Data Science Developer

Peter is Available for Projects

Work with Peter

Employment Highlights

Data Scientist

Talent Data Labs (TDL)

June 2017 - Present (4 years)

Data Scientist

WE are Service Provider (WESP)

February 2018 - Present (3 years 4 months)

Statistics, SPSS and Data Analysis Consultant & Senior Manager

Afstudeerbegeleider.nl

May 2015 - December 2017 (2 years 7 months)

Education Highlights

Master's Degree

University of Amsterdam

September 2012 - November 2014 (2 years 2 months)

Bachelor of Science

University of Amsterdam

September 2007 - June 2012 (4 years 9 months)

Portfolio

Afstudeerbegeleider

Afstudeerbegeleider

Nova Talent

Nova Talent

Aftersales Magazine

WESP Impact Project

Afstudeerbegeleider

Afstudeerbegeleider

Nova Talent

Nova Talent

Aftersales Magazine

WESP Impact Project

Resume

Data Scientist

Talent Data Labs (TDL)

June 2017 - Present (4 years)

Talent Data Labs is an HR analytics and automation company. Peter is responsible for data management for a major client based in Sweden called Nova Talent, which handled in Business Intelligence concerning talent in the Nordics (Sweden, Norway, Denmark, and Finland) and Spain.


Working on HR-matching and data storage project:

  • Ensured the continuous matching and storage of company and talent data.
  • Collected data through surveys and web scraping, cleaning and matching this data using python, and storing this data in google sheets.

Working on database and visualization project:

  • Designed and created a new database in MySQL and AWS server to which all the existing data is being transported.
  • Adjusted existing scripts to run daily updates on this data based on new data becoming available through surveys.
  • Created several Tableau dashboards which could be used by the team at Nova to easily create client specific dashboards, to present insights in their matches.

Data Scientist

WE are Service Provider (WESP)

February 2018 - Present (3 years 4 months)

WESP creates and sells Business Intelligence (BI) for the automotive branch and is focused on aftersales.


Working on a web scraper project:

  • Built and collected pricing data from several car parts retailers.
  • Created a web scraper using Python to collect available data from several websites and store all this data in a MySQL database.
  • Connected the collected data to the existing database owned by WESP and to other applications.

Working on the impact project (WESP is now actively using this study; also published this in Aftersales Magazine):

  • Conducted a study into the impact of using Business Intelligence (BI) on performance for organizations in aftersales.
  • Took a large sample of clients from WESP and analyzed the change in performance before and after usage of BI by WESP on 15 different performance indicators.
  • Utilized multilevel linear regression analyses to see what the impact of BI-usage was on performance.

Working on predictive forecasting of labor costs project:

  • Applied multilevel linear regression models to predict labor costs.
  • Developed research design, data preparation, and data analyses.

Working on a categorization project:

  • Managed data preparation.
  • Created and tested different machine learning algorithms.
  • Ran and adjusted different categorization models.
  • Presented preliminary results.

Statistics, SPSS and Data Analysis Consultant & Senior Manager

Afstudeerbegeleider.nl

May 2015 - December 2017 (2 years 7 months)

Afstudeerbegeleider.nl is a company that helps students with their thesis and in the field of data analysis, SPSS, and statistics to perform quantitative research for companies and organizations.

  • Provided SPSS and statistics tutoring for clients.
  • Trained and provided support for new consultants.
  • Designed and performed quantitative studies for companies and organizations.

Education

Master's Degree, Social Psychology

University of Amsterdam

September 2012 - November 2014 (2 years 2 months)

Bachelor of Science, Psychology

University of Amsterdam

September 2007 - June 2012 (4 years 9 months)