Data Analytics and Modeling Skills Assessment Questionnaire Form
Evaluate your proficiency in key areas of data analytics and modeling. Please answer each question based on your current skills and experience.
How would you rate your proficiency with statistical analysis methods?
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1
2
3
4
5
Which analytics tools are you most comfortable using?
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Excel/Google Sheets
R
Python (pandas, NumPy, scikit-learn)
SQL
Tableau/Power BI
Other
Rate your ability to clean and preprocess raw data sets.
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1
2
3
4
5
How confident are you in building predictive models (e.g., regression, classification)?
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1
2
3
4
5
How often do you use data visualization to communicate insights?
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Never
Rarely
Sometimes
Often
Always
How would you rate your experience interpreting and explaining model results to stakeholders?
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1
2
3
4
5
Select the types of data you have worked with:
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Structured (databases, spreadsheets)
Unstructured (text, images)
Time series
Geospatial
Other
How do you approach validating the accuracy of your models?
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Cross-validation
Holdout/test set
Bootstrapping
I do not validate
Other
Please indicate your level of agreement with the following statements:
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Rows
Strongly Disagree
Disagree
Neutral
Agree
Strongly Agree
I am comfortable using scripting languages for data analysis.
1
2
3
4
5
I can independently design and implement end-to-end analytics projects.
6
7
8
9
10
I regularly stay updated on new analytics and modeling techniques.
11
12
13
14
15
Briefly describe a data analytics or modeling project you have worked on.
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