Data-Science-Projects

Sentiment Analysis - Review Classification using SpaCy

• | Python, NLP, Jupyter Notebook |
• - This project is specifically based on Natural Language Processing.
• - Reviews from IMDb, Yelp and Amazon is used for analysis purpose.
• - Appended and cleaned datasets using TF-IDF for IMDb, Amazon and Yelp reviews. Trained the model and predicted test results. Thereby using NLP for sentiment analysis, achieved predictions.

Sales Analysis

• | Jupyter Notebook, Visualization |
• It uses Sales Dataset.
• - Executed Extract, Transform, Load (ETL) process on dataset, followed by Exploratory Data Analysis (EDA) process. Analyzed data using visualization, offering valuable insights for enhancing sales.

IT Ticket Analysis

• | Power BI |
• - This project uses Power BI for analysis.
• - It uses IT Helpdesk Data.
• - Cleaned the data in Power BI and created effective visualization for insights.
• - Achieved data driven insights by integrating dynamic measures with Power BI’s visualizations.