Ved Mistry Email & Phone Number

Michigan, United States

• Led a team of 30 individuals for venturing into subdomains of AIML through individual projects.
• Supervised 25 lectures for juniors on Data Analysis, Neural Networks and Machine Learning algorithms.
• Organized multiple workshops to provide a platform for junior mentors and students to apply AI/ML knowledge to real-world challenges.
• Organized the club's first-ever 'Datathon', Data2Knowledge, a hackathon for data science aspirants which attracted a footfall of more than 700 students and multiple sponsorers.
• Held lecture series on Transfer Learning for Deep Learning covering AlexNet, ResNet and VGG model.

• Worked on research and industry-oriented projects to advance in domain of AIML with guidance from seniors.
• Held weekly lectures to teach AI and its fundamentals to sophomore students.

Mumbai, Maharashtra, India

• Course: Machine Learning - II, DJ19DSC501
• Designed machine learning laboratory experiments for Junior students in the Department of Data Science at DJ Sanghvi College of Engineering. This initiative included creating practical, hands-on experiments under the.
• Compiled a comprehensive teacher's manual for these laboratory experiments, providing detailed solutions and supplementary materials. The manual encompassed essential background knowledge and principles, facilitating a.

Mountain View, California, United States

• Worked on Orion.AI:- tool used for segmentation and detection of malignant cells from Whole Slide Images of patients’ tissues to improve assessment of histological features and trained model used in processing on.
• Rectified and added new elements in existing pipeline on Google Cloud Platform and AWS to improve pipeline execution speed by 13.5%.
• Use of technologies like PyTorch and SQL for development of pipeline on AWS & GCP.
• Collaborated with cross-functional teams to identify and resolve API issues using Postman.

• Built Hybrid Recommendation System for E-commerce website using Tensorflow.js from scratch after analysing data and performing extensive feature engineering.
• Developed system to analyze sentiment in product reviews on client’s website implementing BERT and RoBERTa using Hugging face module.
• Developed and deployed interactive Tableau dashboards, resulting in a 30% increase in efficiency and reducing time spent on manual data analysis.