Phil Scherbel

FAQ About Phil Scherbel

• What is Phil Scherbel's address?

  Phil Scherbel is located at
  New York, New York, United States

• What is Phil Scherbel's job title?

  Phil Scherbel is a
  As data scientist in Facebook’s video division with focus on FB live and lite, I support decision making and answer strategic questions with a data-driven approach. In my previous role in technology advisory at EY I specialized in advanced analytics and machine learning to help clients in the areas of customer and product analytics. Before joining EY I gained experience in the area of process optimization and business intelligence at Mercedes-Benz where I worked on cross-functional projects and KPI reporting for the NAFTA market. During college, I interned at KPMG and Capgemini and became familiar with consulting. My strength, besides data analysis, is being able to work in cross functional teams, connecting business and technology while serving as a translator of business needs. As an analytics translator, I develop end-to-end solutions - from ideating with business stakeholders, defining what the actual business need or question is, to developing and deploying back- and frontend of data products. I am curious about leveraging advanced data analysis to solve business problems. I strongly believe that the insights data provides - in properly trained hands and effectively communicated - is a major driver for business. I graduated from Emory University’s Goizueta Business School with a masters in Business Analytics and also earned a masters in Industrial Engineering and Management from Karlsruhe Institute of Technology (KIT). Languages____R, Python, SQL, Hive, Pig, PySpark Data Science__Pandas, Numpy, Scikit-learn, TensorFlow, Keras - ggplot, datatable, reshape Tools_________Tableau, SPSS, Rapidminer, Hadoop, AWS (S3, EMR, Notebooks), Power BI, Databricks, Snowflake GitHub_______https://dsphil.github.io Meta

• What industry does Phil Scherbel currently work in?

  Phil Scherbel currently works in the
  Meta

• What is Phil Scherbel's area of expertise?

  Phil Scherbel specializes in
  As data scientist in Facebook’s video division with focus on FB live and lite, I support decision making and answer strategic questions with a data-driven approach. In my previous role in technology advisory at EY I specialized in advanced analytics and machine learning to help clients in the areas of customer and product analytics. Before joining EY I gained experience in the area of process optimization and business intelligence at Mercedes-Benz where I worked on cross-functional projects and KPI reporting for the NAFTA market. During college, I interned at KPMG and Capgemini and became familiar with consulting. My strength, besides data analysis, is being able to work in cross functional teams, connecting business and technology while serving as a translator of business needs. As an analytics translator, I develop end-to-end solutions - from ideating with business stakeholders, defining what the actual business need or question is, to developing and deploying back- and frontend of data products. I am curious about leveraging advanced data analysis to solve business problems. I strongly believe that the insights data provides - in properly trained hands and effectively communicated - is a major driver for business. I graduated from Emory University’s Goizueta Business School with a masters in Business Analytics and also earned a masters in Industrial Engineering and Management from Karlsruhe Institute of Technology (KIT). Languages____R, Python, SQL, Hive, Pig, PySpark Data Science__Pandas, Numpy, Scikit-learn, TensorFlow, Keras - ggplot, datatable, reshape Tools_________Tableau, SPSS, Rapidminer, Hadoop, AWS (S3, EMR, Notebooks), Power BI, Databricks, Snowflake GitHub_______https://dsphil.github.io

• Which languages does Phil Scherbel speak? 

  Phil Scherbel speaks the following languages:
  No languages available.

• Which industries has Phil Scherbel previously worked in?   

  Phil Scherbel has prior experience in the following industries:
  Meta , Ey , Ey , Mercedes Benz Usa , Capgemini Invent , Kpmg Deutschland , Mercedes Benz Usa , Siemens

• What is Phil Scherbel’s work experience?  

  Phil Scherbel has the following professional experience:
  Meta , Meta , Ey , Ey , Mercedes Benz Usa , Capgemini Invent , Kpmg Deutschland , Mercedes Benz Usa , Siemens .

• How can I find Phil Scherbel on LinkedIn?  

  You can view Phil Scherbel’s
  LinkedIn profile at LinkedIn URL.

• What are Phil Scherbel’s work email addresses?  

  Phil Scherbel’s work email addresses are
  [email protected] .

• What company does Phil Scherbel work for?  

  Phil Scherbel works at
  Meta