SNIGDHA SRIDHAR

• Developed a Pharmacy website crawler to crawl and parse websites, retrieving the HTML content, capturing screenshots, and extracting text files.
• Implemented web crawling techniques, including parsing with JSoup, automation with Selenium WebDriver, listing datasets using JSON-LD, and full-page snapshots for monitoring, testing, and documentation.
• Utilized Java Selenium for automated integration testing to ensure robust performance.
• Key Skills: Java, Jsoup, JSON-LD, SQL, Selenium IDE, and WebDriver, HTML, CSS Selector, HTTP Connection, and XPath Creation.

• Collected and preprocessed 100 restaurant datasets to predict customer retention over the next decade. Cleaned and transformed 95% of raw data, handled 10% missing value scenarios, and engineered 20+ predictive features. Used different regression models and improved model accuracy by 15%.
• Used Python libraries including Pandas, Numpy, Matplotlib,TensorFlow, for data analysis ,classification and visualization.

• Built a Railway Reservation System, enabling users to search for trains, book tickets, and receive confirmations through an intuitive web interface.
• Optimized queries to reduce search response time by 40% and covered over 10+ use cases, including seat availability checks, fare calculation, and payment processing.
• Skills Used: React, Bootstrap, Front-End Development, Java(Spring Boot),MySQL

GPA: 8.9 / 10

Awards and Honors:

• Summa cum laude
• Certification from Harvard for CS50 Computer Science

Capstone Projects:

• Cloud-Based Website Hosting Using AWS- Capstone Project

College Projects:

• Customer Retention Analysis and Prediction for Restaurants, 03/04/23 - 09/07/23

IEEE Publication: Presented in VITCON at VIT, Vellore, India Manuscript title: "Detection and Identification of Pills using Machine Learning Models".

Percentage: 94.3%

Graduation with Distinction.

Percentage: 94.2%

Won Multiple Academic and Cultural Awards