Saanjhi Sharma

Fraud and Identity Validation Dashboard:-

* Technologies: Python, Streamlit, Data Validation, Local Deployment

• A Python-based dashboard to validate identity fields such as name, email, and phone number for detecting potential fraud.
• Implemented logic to identify identity theft indicators, including reused or previously flagged records across recent and historical data uploads.
• Deployed the application locally using Streamlit on localhost for interactive analysis and review.
• Improved efficiency of fraud checks by automating manual validation processes.

Sentiment analysis Application:-

* Technologies: Python, scikit-learn, TensorFlow, NLTK, Jupyter Notebook

• A machine learning solution to classify text data into positive, negative, and neutral sentiments to support customer feedback analysis.
• Automated sentiment extraction from large text datasets to improve insight generation and business decision-making.
• Enabled analysis of customer reviews and social media data to identify trends in user sentiment.