Naveen Pandey is a skilled Data Scientist with expertise in developing advanced machine learning and deep learning solutions. His technical proficiency spans Computer Vision, Natural Language Processing, and predictive modeling using frameworks like TensorFlow and PyTorch. He has experience building and deploying applications, including CNNs for image classification and web apps for fake news detection, demonstrating a strong ability to drive business growth through data.
Experience
Deep Learning Application Developer Intern
Technocolabs Softwares
Bitcoin Price Prediction Application using Deep Learning. Building an AI Assistant (Chrome Extension) that dealing with the Google search engine that takes input from the user and provides relevant data in the given technology domain. Successfully designed and implemented a Convolutional Neural Network (CNN) in TensorFlow for image classification, achieving an outstanding accuracy rate of over 95% by converting the final layer to a Support Vector Machine (SVM). Collected and annotated a dataset of over 5,000 images for object detection tasks, trained YOLO v5 models achieving high accuracy on target objects. Leveraged advanced image processing techniques, such as histogram equalization and noise removal, to significantly improve the quality of the images, resulting in an 80% boost in accuracy for a Mask RCNN model.
Junior Data Scientist
Algo8.ai
Education
Sikkim Manipal University
Bachelor of Science
Information Technology