Sravani Linga

Sentiment Analysis on Flipkart Product Review Dataset (Jan 2023-April 2023)

• Conducted large-scale sentiment analysis on 194,276 rows of Flipkart product reviews, using Python libraries TextBlob and NLTK for advanced natural language processing (NLP).
• Applied TextBlob and NLTK to perform sentiment classification, measuring polarity and subjectivity to assess customer feedback and product perception.
• Executed data preprocessing techniques, including text tokenization, stemming, and cleaning, to prepare data for accurate sentiment analysis.
• Successfully performed high-level NLP tasks, including opinion mining, sentiment scoring, and data visualization, for enhanced decision-making.

Phishing Domain Detection (Jan 2024-April 2024)

• Developed and deployed machine-learning models for phishing domain detection, enhancing cybersecurity against online fraud.
• Implemented algorithms like Decision Trees, Random Forests, and Support Vector Machines to analyze URLs, website content, and source code, achieving high accuracy in identifying fraudulent sites.
• Conducted data analytics to classify phishing websites, providing insights to strengthen cybersecurity defenses against evolving threats.

Online Shopping Database System Development (Oct 2023-Dec 2023)

• Developed an online shopping database system by implementing key database management concepts to enhance data organization and accessibility.
• Executed SQL commands for table creation, data insertion, and data verification, ensuring data integrity and optimal performance of the database.
• Designed and tested helper functions and procedures to streamline data operations, improving overall system efficiency and maintaining a structured database environment.

User Interface Design (Jan 2024- April 2024)

• Conducted user interviews to evaluate the usability of an existing food service website, identifying key areas for improvement based on real user feedback.
• Analyzed user insights to enhance the website's user experience (UX), implementing design changes that improved functionality and overall satisfaction.
• Utilized Figma to create interactive prototypes and design enhancements, facilitating a more intuitive interface and streamlined navigation for users.