About

Nihit Saxena is a meticulous and result-oriented Data Science Expert with over 4 years of experience in econometric modelling, algorithm development, and machine learning methodologies. He has a proven track record of setting up the data science function for a leading auditing firm and rendering consultancy services for multiple Fortune 500 companies. Nihit is proficient in deploying multiple algorithms and techniques in the domain of computer vision, NLP, clustering and regression analysis, big data ecosystem, etc. to create products that deliver a direct impact on the bottom line of organizations. Currently, Nihit is the Co-Founder of datastunt, where he is leading the team to develop innovative solutions using his expertise in machine learning methodologies, computer vision methodologies, natural language processing, text mining, segmentation models, clustering analysis, data mining & analytics, predictive & statistical modelling, regression analysis, cloud computing & GPU's, model deployment, big data ecosystem, and streaming data pipeline. Prior to datastunt, Nihit worked as a Mentor at almabetter, where he managed two teams - Data Science Team and Front End Development Team. He conducted extensive R&D on various problem statements and possible solutions that helped save a million-dollar, applied various machine learning techniques to build computer vision models, and reduced time and cost. Nihit also successfully created and deployed multiple machine learning models on computer vision, NLP, etc. and built Big Data Pipelines for the Data Warehouse and Data Lakes. He leveraged multiple Neural Network Architectures like VGG, ResNet, UNet, MaskRCNN, etc. and implemented methodologies whose evaluation went up to $10 Million. Previously, Nihit worked as a Data Scientist at Deloitte, where he managed two teams - Data Science Team and Front End Development Team. He conducted extensive R&D on various problem statements and possible solutions that helped save a million-dollar, applied various machine learning techniques to build computer vision models, and reduced time and cost. Nihit also successfully created and deployed multiple machine learning models on computer vision, NLP, etc. and built Big Data Pipelines for the Data Warehouse and Data Lakes. He leveraged multiple Neural Network Architectures like VGG, ResNet, UNet, MaskRCNN, etc. and implemented methodologies whose evaluation went up to $10 Million. Nihit holds a Master of Technology degree in Data Science and Engineering from Birla Institute of Technology and Science, Pilani, and a Bachelor of Technology