AIRA Matrix Private Limited
Vedant Vijay Dalimkar's work experience began in 2021 as a Machine Learning Intern at Swecha. In 2022, they worked as a Data Science Intern at Aramex. Currently, they are a Trainee Engineer at AIRA Matrix Private Limited, starting in 2023.
Vedant Vijay Dalimkar pursued their education in a chronological order. Vedant attended The Orchid School from 2006 to 2019, but no specific degree or field of study is mentioned for this period. From 2019 to 2023, Vedant attended Birla Institute of Technology and Science, Pilani - Goa Campus and earned a Bachelor of Engineering (BE) degree in Mechanical Engineering. During this time, they also completed a minor in Data Science from the same institution, which started in 2021 and will continue until 2023.
In addition to their formal education, Vedant obtained several certifications. In 2020, they completed the course "Divide and Conquer, Sorting and Searching, and Randomized Algorithms" from Coursera. In 2021, they acquired three more certifications from Coursera: "Neural Networks and Deep Learning," "Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization," and "Structuring Machine Learning Projects." These certifications demonstrate their commitment to expanding their knowledge and expertise in the field of data science and related topics.
AIRA Matrix Private Limited
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AIRA MATRIX is a software company that provides image analysis and management solutions for preclinical toxicology and pathology applications. The company’s decision-support solutions help improve workflow efficiency and increase diagnostic accuracy in research labs, drug discovery studies, and clinics. They develop and design comprehensive DigitalPathology solutions.AIRA MATRIX deep-learning-based platform helps pathologists analyze large volumes of image data and quickly helps focus on relevant study findings. Their solutions go well beyond the simple marking applications currently offered in the industry, instead, their solutions address the more complex workflow processes and image analysis issues faced in pathology reporting.