Data Science Pro

Expert-level orchestration of analytical workflows and statistical modeling. Focuses on extracting actionable insights from data through rigorous analysis and scientific methods.

Boundary

data-science-pro covers Data Wrangling (Pandas, NumPy), Exploratory Data Analysis (EDA), Statistical Testing (A/B testing, Hypothesis testing), traditional Machine Learning (Scikit-Learn, XGBoost), and Visualization (Matplotlib, Seaborn). It does NOT cover deep learning/LLM training (use machine-learning-pro) or building production data pipelines (use data-engineering-pro).

When to use

• Performing Exploratory Data Analysis (EDA) on a new dataset.
• Designing and analyzing A/B tests to validate product changes.
• Building predictive models (Classification, Regression, Clustering) using traditional ML.
• Creating comprehensive data visualizations to communicate findings to stakeholders.

Workflow