I analyzed Sephora skincare data, examining how luxury and affordable products compare across price and ratings, while assessing the influence of skin type labels, ingredient complexity, and brand positioning on market trends and customer satisfaction. This was done with a kaggle dataset.

Language: Python

Packages: Scipy, Sklearn, Pandas, Seaborn, Matplotlib, Numpy

Platform: GitHub, Colab

As part of a team, I analyzed Netflix’s content strategy, examining how major events and rising competition shaped its library, while assessing its focus on movies versus television, the share of international content, top genres, and key themes uncovered through word analysis.

Language: Python

Packages: Statsmodel, Matplotlib, Nltk, Seaborn, Pandas, Wordcloud

Platform: GitHub, Colab

As part of a team, I analyzed Cleveland Clinic heart disease data, converting the outcome to binary to balance the dataset and building predictive models using logistic regression, KNN, random forest, boosting, bagging, LDA, SVM, CART, and neural networks to assess patient risk and model accuracy.

Language: Python

Packages: Pandas, Seaborn, Sklearn, Matplotlib, Numpy

Platform: GitHub, Colab