📊 Data Analysis Portfolio

Welcome! This repository highlights practical data analysis projects that demonstrate my proficiency in exploratory analysis, visualization, and insight generation using Python and industry-standard tools.

🔍 Project Overview

COVID-19 in the U.S.: Exploratory Data Analysis & Visualization

• Description: An interactive Streamlit dashboard that visualized COVID-19 trends, state-wise case distributions by epidemic stage, and test-confirmed case correlations.
• Tools: Pandas, Matplotlib, Seaborn, Plotly, Streamlit

Skincare Review and Product Analysis from Sephora

• Description: This project analyzed customer reviews of skincare products from Sephora to extract meaningful insights using natural language processing (NLP) and sentiment analysis.
• Tools: Pandas, Numpy, Scikit-learn, NLTK, Matplotlib, Seaborn, WordCloud

US Airbnb Market Trend Story (2020-2023)

• Description: Developed an interactive Tableau Story featuring four dashboards to analyze trends in Airbnb room types, pricing, user reviews, and geographic distribution across the U.S. from 2020 to 2023.
• Tools: Tableau

AWS-Powered Analysis of Netflix’s Global Content

• Description: This project analyzed Netflix's TV shows and movies using AWS platform.
• Tools: AWS S3, AWS Glue Crawler, AWS Athena, Pandas, Matplotlib

🛠️ Skills Demonstrated

• Data wrangling and preprocessing
• Exploratory Data Analysis (EDA)
• Interactive visualizations and dashboards
• Text data analysis and sentiment mining
• Python scripting with Pandas, Numpy, Plotly, Streamlit, etc
• other tools: Tableau, AWS
• Communication of data-driven insights