This repository showcases two end-to-end data analytics projects where Python is used for data preparation and analysis, and Tableau is used for interactive dashboarding and insight delivery.
Analyzed a retail bank’s loan portfolio to understand customer borrowing behavior and financial patterns.
Key Work:
- Data cleaning and preparation in Python
- Exploratory analysis of customer demographics and loan attributes
- Identification of trends and outliers affecting loan portfolios
- Interactive Tableau dashboard for business insights
📊 Dashboard:
https://public.tableau.com/app/profile/shravani.mahadeshwar/viz/BlueBank_16845221401200/Dashboard1
Performed sentiment analysis on textual data to evaluate public opinion and emotional tone.
Key Work:
- Text preprocessing and sentiment scoring in Python
- Classification into positive, negative, and neutral sentiment
- Aggregation of sentiment results for visualization
- Tableau dashboard to explore sentiment distribution and trends
📊 Dashboard:
https://public.tableau.com/app/profile/shravani.mahadeshwar/viz/BlogMeSentimentAnalysis_16845658940930/Dashboard1
- Python (pandas, numpy)
- Exploratory Data Analysis (EDA)
- Text Processing & Sentiment Analysis
- Tableau Public (interactive dashboards)
- Jupyter Notebook
These projects demonstrate the ability to:
- Prepare and analyze structured and unstructured data
- Extract actionable insights through exploratory analysis
- Communicate findings effectively using interactive dashboards
- Deliver analytics projects from raw data to visualization