Gopu Abhinav Vamsi

Results-driven Computer Science Engineering student with a solid foundation in Data Structures, Algorithms, and Software Development. Proven ability to apply analytical skills to solve complex problems, demonstrated through successful project implementations and collaborative team efforts. Eager to leverage technical expertise in programming languages and software tools to contribute effectively in a dynamic tech environment.

• Data Science for Enginners [NPTEL]
• Data Analyst [Udemy]
• Machine Learning[Udemy]
• MLOps[Udemy]
• Data Analytics with Python [NPTEL]

COVID-19 Detection Using CNN

• Built a CNN model to classify COVID-19 from chest X-ray images.

• Applied preprocessing, augmentation, and hyperparameter tuning.

• Trained the model on a public medical dataset and optimized using early stopping and dropout.

Deepfake Detector

• Developed deepfake detection using VGG-19 CNN for images/videos.

• Achieved 93.7% accuracy using TensorFlow and OpenCV.

• Focused on cybercrime prevention through content verification.

Zomato Customer Segmentation

• Preprocessed data by handling invalid ratings and splitting multi-cuisine entries.

• Applied one-hot encoding and K-Means to segment restaurants.

• Used Elbow Method to identify optimal clusters for recommendations.

• IIT Advanced Qualified
  Qualified for IIT Advanced with an All India Rank of 12,701 securing offers from IIT Bhubaneswar and IIT Tirupati
• Gold Medalist in Table Tennis (Regional Level)
  Won the Gold Medal in Table Tennis at the regional level.