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Nishant Singh
Lead Data Scientist at Vmock l Ex - Quantiphi | Ex- Accenture | Computer Vision Enthusiast
About
Nishant Singh is a Senior Data Scientist II at Shadowfax, with over 5 years of experience in the field of Machine Learning and Computer Vision. He has a strong passion for building highly efficient data systems that can enhance customer experience and safety. Nishant has a proven track record of delivering more than 30 successful data-driven models, achieving as high as 98% accuracy. Nishant's expertise lies in Computer Vision, NLP, and Time-Series Forecasting. At Quantiphi, he worked on advanced Computer Vision problems involving algorithms based on Image Segmentation, Object Detection, Action Recognition, Pose Estimation, Object Tracking, and more. He also optimized the Inferencing pipeline using Tensor-rt and ONNX models for better inference speeds. Nishant has also created Docker Images of Machine Learning Models for running training jobs through AWS Sagemaker and Hyperparameter tuning for Sagemaker exposed hyper-parameters. He has a strong grasp of Image Data preprocessing and creating pipelines connecting different models. During his stint at Decision Point Analytics, he worked on Time Series – Sales and Demand Forecasting for various CPG and FMCG Clients. Nishant has a Bachelor of Engineering (B.E.) degree in Aerospace, Aeronautical and Astronautical Engineering from Dayananda Sagar University. Nishant's tech stack includes Data Scientist, Research Scientist, Computer Vision, ML, AWS, Sagemaker, Deep Learning, NLP, Object detection, Python, Tensorflow, Hyperparameter, Object Detection, Image Segmentation, Big Data, and Docker. He is a Computer Vision enthusiast and likes to spend his free time learning new technologies and working out at the gym. He is always open to connecting with people and discussing ideas related to his domain.
Education Overview
• dayananda sagar institutions
Companies Overview
• vmock
• shadowfax
• quantiphi
• decision point analytics
• self employed
• accenture
• blowhorn
Experience Overview
7.1 Years
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