CompletedData2025
Automotive Data Analysis
My internship work: messy car data, cleaned, filled in and presented.
- Python
- pandas
- scikit-learn
- REST APIs
- Looker Studio
Built
- Cleaned 1,215 records in pandas
- Filled gaps with scikit-learn models and REST APIs
- Presented in a Looker Studio dashboard
Architecture
- Raw data1,215 records
- pandasclean · standardize
- scikit-learn + APIsfill missing values
- Looker Studioclient presentation
Insight
Most data work happens before the first chart.
Challenge
ProblemMissing vehicle attributes left holes in the dataset.
FixEstimated them with regression and decision-tree models, then filled the rest from REST APIs.