Vishank Shah
About Vishank Shah
Vishank Shah is a Data Scientist currently employed at Accrete in Mumbai, Maharashtra, India. He has experience in algorithmic trading, machine learning applications, and convolutional neural networks, with a background in Computer Science from Pune University.
Work at Accrete AI
Vishank Shah has been employed as a Data Scientist at Accrete since 2022. He operates in a hybrid work environment based in Mumbai, Maharashtra, India. His role involves applying data science techniques to enhance product offerings and user experiences.
Previous Experience in Data Science
Prior to joining Accrete, Vishank worked at Intelligence Node as a Data Scientist from 2021 to 2022. His responsibilities included contributing to artist intelligence systems, which focus on analyzing and predicting trends within the music industry. Before that, he served as an Algorithmic Trading Developer at Arque Tech from 2019 to 2021, where he applied his programming skills in financial markets.
Education and Expertise
Vishank Shah holds a Bachelor of Engineering (B.E.) in Computer Science from Pune University. His educational background provides a strong foundation for his work in data science, particularly in machine learning and algorithm development.
Machine Learning Projects
Vishank has developed a playlist prediction model aimed at improving user experience in music streaming applications. He has also worked on fuel price tracking and prediction models, demonstrating his ability to apply machine learning techniques to economic and market data.
Technical Skills in Data Science
Vishank specializes in fine-tuning convolutional neural networks for object detection tasks. He utilizes advanced models such as YOLOv3, v5, and v7. Additionally, he collaborates with product owners and developers to integrate data backend solutions, ensuring effective model integration into user interfaces.