Baladithya Papudesi

• CREDIT CARD FRUAD DETECTION

           Proposed method outperforms the existing approaches of Auto Encoder(AE), Isolation Forest(IF), K-Means clustering. Here, Proposed NN based fraud detection method performs with 99.87% accuracy whereas existing methods AE,IF,K-Means gives 97%,98%,99.75% accuracy respectively.

• FAKE NEWS DETECTION

            Fake news detection is a critical text classification task focused on identifying news as real or fake. Fake news encompasses false or misleading information, including clickbait, disinformation, misinformation, hoaxes, satire, and rumors, aimed at deceiving or misinforming the public. While not a new phenomenon, fake news gained significant attention during the 2016 US election. Traditionally, news was consumed from trusted sources adhering to strict editorial standards. However, the rise of the internet has enabled widespread sharing and publishing of information with minimal oversight, intensifying the challenges of detecting fake news.

• Published a Thesis Research on CREDIT CARD FRUAD DETECTION on IEEE
• Deep Learning.AI-Coursera
• Programming For Everybody With Python - University Of Michigan
• Using Python To Access Web Data - University Of Michigan
• Capstone: Retrieving, Processing, and Visualizing Data with Python - University Of Michigan