Parth Mishra

Parth Mishra's work experience includes a role as a Machine Learning Engineer at SandboxAQ starting in 2022. Prior to that, they worked as an AI/ML & Software Testing Intern at Visteon Corporation from September 2021 to May 2022. In this role, Parth implemented and optimized Convolutional Neural Networks using Python and TensorFlow, improving model performance by 10%. Parth also gathered and processed large amounts of data using pandas and NumPy, resulting in a significant reduction in data collection time. Additionally, Parth worked on body-pose detection using TensorFlow, dlib, and OpenCV, which improved product quality and detection accuracy.

Before their role at Visteon Corporation, Parth served as a Graduate Research Assistant at Michigan Technological University from May 2021 to August 2021. Parth led a team in developing a deep learning project for human activity detection, saving time through automation and improving efficiency by 50%. Parth also worked as a Graduate Teaching Assistant at the university from August 2020 to April 2021, providing feedback, managing examinations, and documenting answers and mistakes for a formal models of computation course.

Prior to their time at Michigan Technological University, Parth worked as an Intern at Aon from June 2019 to August 2019. In this role, they designed an automatic IT ticket classification system using Python and TensorFlow, which saved hundreds of hours by accurately assigning tickets to the correct department. Parth also deployed various machine learning models to enhance the IT system efficiency and improve the real-time experience for end-users.

Parth's earlier work experience includes positions as a Placement Coordinator at The NorthCap University from October 2017 to May 2019, and an Intern at MAGES Institute of Excellence from June 2018 to July 2018. At MAGES, they collected patient anxiety data and utilized ensemble techniques to predict anxiety scores, resulting in a reduction in anxiety levels for a majority of users. The VR product they worked on was deployed in Singapore General Hospital and awarded in the Top 20 projects in the National HealthTech Challenge.

Parth Mishra completed their education with a Master's degree in Computer Science from Michigan Technological University in 2021. Prior to that, they earned a Bachelor's degree in Computer Science from the same institution in 2020. Before joining Michigan Technological University, Parth studied at The NorthCap University, where they obtained a Bachelor of Technology degree in Computer Science from 2016 to 2020. Parth's earliest known education is from Ryan International School in India, although the duration and degree details are not provided.

In addition to their formal education, Parth has obtained several certifications. Parth completed the "Quantum Computing Fundamentals" course from MIT xPRO in December 2022. In June 2021, Parth received the "Microsoft Certified: Azure Fundamentals" certification from Microsoft and the "TensorFlow Developer Certificate" from the TensorFlow Certificate Program. In May 2021, they completed the "Deep Learning Specialization" and the "Sequence Models" courses from Coursera. In April 2021, Parth obtained certifications in "Convolutional Neural Networks" and "Structuring Machine Learning Projects" from Coursera. Earlier in March 2021, they completed the "Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization" and the "Neural Network and Deep Learning" courses. Parth's earlier certifications include "Tableau bootcamp for data visualization" from Udemy in January 2020, and various courses in Python and machine learning from Coursera in 2020.

Based on the provided information, it can be concluded that Parth Mishra has a diverse educational background in Computer Science, with a focus on machine learning and deep learning.