Avishek Ananda Jha

Highly motivated and detailed-oriented candidate passionate about using data to improve business performance and customer experience. Skilled at leveraging data to develop actionable solutions to business challenges and utilizing data mining and data visualization to create meaningful insights. Excellent technical aptitude and knowledge of programming languages, data analytics and data visualization.

AI and Machine Learning Image Captioning
KIIT University

• Developed a machine learning model to generate captions for images.
• Utilized Python and TensorFlow for model training and evaluation.
• Improved caption accuracy by 15% through iterative testing and validation.

Fake Signature Detection
lambton college.

• Created a machine learning model to detect fake signatures using Python and OpenCV.
• Collected and preprocessed a dataset of genuine and forged signatures.
• Implemented convolutional neural networks (CNNs) to train the model.
• Achieved a detection accuracy of 92% after fine-tuning the model parameters.

Brain Tumor Detection
Independent Project

• Developed a deep learning model to detect brain tumors from MRI images.
• Preprocessed medical imaging data and implemented data augmentation techniques.
• Utilized convolutional neural networks (CNNs) with TensorFlow and Keras for model training.
• Achieved a high accuracy rate of 95% in tumor detection after optimizing the model.