Projects 

Fitness Device Consumer Analysis (Google Capstone)

Tools: R (tidyverse)

Task Summary:
Analyzed smart fitness device usage data from 5,000+ users to identify behavioral trends by time of day and age group, supporting data-driven marketing strategy improvements.

Key Methods:

• Cleaned and organized user activity data using R and tidyverse packages.

• Conducted exploratory data analysis to uncover trends in device usage across age groups and time slots.

• Identified peak morning usage among users aged 18–34, informing campaign timing for targeted marketing.

Visuals:

• Plots showing step count with active vs. sedentary minutes 

• Plots showing calorie count with very active vs. sedentary distance

Health Insurance Data Exploration and Statistical Testing

Tools: Python (Pandas, Matplotlib)

Task Summary:
Performed exploratory analysis and hypothesis testing on health insurance data to examine cost differences based on smoking status and regional BMI variations.

Key Methods:

• Conducted EDA on age, BMI, smoking status, and charges.

• Applied two-sample t-tests to compare charges between smokers and non-smokers (~4x higher for smokers).

• Used Kruskal-Wallis tests to identify significant BMI differences across regions.

• Visualized findings for stakeholders to guide targeted wellness initiatives.

Visuals:

• Plots of charges by smoker status.

• Regional BMI distribution plots.

Market Basket Analysis for Product Bundling

Tools: Python (Pandas, mlxtend, Matplotlib)

Task Summary:
Performed market basket analysis on high-priority transactional data to identify frequently purchased product combinations, supporting targeted bundling and inventory optimization for Allias Megastore.

Key Methods:

• Preprocessed and transactionalized order data for high-priority purchases.

• Applied the Apriori algorithm to extract frequent itemsets with support, confidence, and lift metrics.

• Generated association rules to uncover strong product pairings for bundling opportunities.

• Provided data-driven recommendations for marketing and inventory planning.

Visuals:

• Bar chart of top purchased products.