Teja Kamesh Gattu

Complex problem-solver with an analytical and driven mindset. Dedicated to achieving demanding development objectives according to tight schedules while producing impeccable code.

• Multi-label classification of tweets: Initially, we’ll preprocess the Twitter data, train and validate the CNN model, and finally test the model on a test set of data.
• Mining Quality Prediction Using Machine Learning and Deep Learning.
• Done a Research Paper on Leveraging Deep Learning for Enhanced Perception in Autonomous Vehicles.[Recurrent neural networks]
• Survey Papers on Geospatial data and database management.
• A Comprehensive Survey and Comparative Analysis of Advanced Deepfake Detection Methods.[CNN, Face Edge Bands, Continuous Face Swapping, Heterogeneous Feature Ensemble Learning Approach]
• Used OpenRefine and GCP for data preprocessing, cleaning, and storing the data.

• Won a gold medal representing the department in table tennis.
• Won the zonal level bronze medal in tennis.
• Elite certification holder in NPTEL courses.
• BSNL internship.
• Cognizant internship (Dot Net, MVC framework).
• Strong troubleshooting and critical thinking skills.
• Good knowledge of software engineering fundamentals.
• Good Interest in AI-based applications and technologies.
• Good Project management skills.
• Done my final project on data analysis, storing, and retrieving using open-refine, Hadoop and Spark clusters.