Saturam
Krishnamoorthy S is a seasoned professional with extensive experience in data analysis and engineering. Currently serving as a Senior Business Data Analyst in Data Ops and Engineering at Saturam since September 2021, Krishnamoorthy specializes in account ownership and customer engagement. Previous roles include Data Scientist & Consultant at Tidyquant, where responsibilities spanned end-to-end project management, data preprocessing research, and predictive modeling for diverse industries. Additional experience encompasses a Data Science Internship at BigTapp Analytics Pte Ltd, a Sales Engineer position at Energyly focused on IoT solutions, and a Business Development Executive role at UX Business Solutions emphasizing customized delivery for SMEs. Krishnamoorthy’s educational background includes a Master of Technology in Big Data and Blockchain Technology from the Indian Institute of Technology, Patna, and an MBA in Business Administration and Management from Alagappa University, among other notable qualifications in data science and engineering.
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Saturam
Saturam is a global & fast-growing Augmented Data Engineering company operated by experienced leaders and experts in Big-DataOps and Machine Learning. Saturam simplifies the modern data engineering lifecycle with tools and SaaS products for the multi-cloud & emerging data ecosystem. Saturam's flagship products 1. Piperr.io Piperr™ is a suite of pre-built ML-based productivity-increasing apps across the entire data life-cycle to enable rapid and seamless analytics/AI/ML readiness. Piperr helps Data teams replace repetitive but complex & manual data engineering activities with a pre-built suite of modern 'Data-App' lego blocks. 2. Qualdo.ai Qualdo.ai is an emerging leader in monitoring and improving Data quality and ML-Models for enterprises adopting a multi-cloud and modern data ecosystem. Qualdo.ai is a proprietary SaaS product where Data-Quality meets Model Monitoring. Qualdo™ helps enterprises to monitor mission-critical ML & data issues, errors, and quality using Augmented Data Engineering.