Keywords by Category
Add these exact terms into your experience and skills sections
skills(12 terms)
- python
- machine learning
- statistics
- sql
- a/b testing
- excel
- data visualization
- reporting
- etl
- data modeling
- spark
- pytorch
tools(12 terms)
- jupyter
- scikit-learn
- pandas
- databricks
- tableau
- power bi
- google sheets
- looker
- airflow
- snowflake
- dbt
- kafka
job-titles(12 terms)
- data scientist
- data analyst
- data engineer
- machine learning engineer
- ai engineer
- business intelligence analyst
- analytics engineer
- computer vision engineer
- nlp engineer
- quantitative analyst
- statistician
- data architect
certifications(10 terms)
- google professional data engineer
- google data analytics certificate
- databricks certified data engineer associate
- aws certified machine learning – specialty
- microsoft certified: azure ai engineer associate
- microsoft certified: power bi data analyst associate
- dbt analytics engineering certification
- nvidia deep learning institute certificate
- stanford nlp certificate
- cfa level i
How to Use These Data & AI Keywords
Best practices to pass ATS filters without stuffing
- Name each model type and library you used, e.g. 'XGBoost' or 'PyTorch'.
- Quantify the business impact of every model or analysis.
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Frequently Asked Questions
What keywords should a data & ai resume include?
Role-specific skills such as Python, Machine Learning, Statistics, named tools like Jupyter, scikit-learn, and recognized certifications.