Data Science at Ford Motor Company
Timeline: June 2019 - Present
Objective: Help modernize a legendary industrial company by leveraging data to improve processes.
Primary Tools Used:
- Python,
- Selenium,
- Pandas,
- PyQT,
- HDFS/Hadoop,
- Alteryx,
- Qlikview,
- Tableau
Designed & developed data pipelines to facilitate compliance with GDPR & CCPA data privacy regulations in Europe and California respectively.
Authored Python scripts to automate acquisition and calculation of marketing data for Business Planning and Sales Analytics team. These calculations would include vehicle pricing and corresponding sales forecasting, as well as experimenting with estimating vehicle trade-in value with Machine Learning model predictions.