Data Semantics
Prathiksha Michael has a diverse work experience spanning over several years. Prathiksha started their career at AnlonITS in 2009, where they worked as a TM1 Consultant until 2012. Later, in 2012, they joined Data Semantics as a Planning & Budgeting Consultant, a role they held until 2013. Prathiksha then progressed to the position of Associate Manager from 2013 to 2014, followed by a promotion to Project Manager from 2014 to 2015. In 2015, they took on the role of Account Manager, where they remained until 2017. During this time, they also served as Head of Operations & HR from 2016 to 2017. Prathiksha's most recent role at Data Semantics was as the Chief Product Officer, starting in July 2017. The duration of this role is unspecified.
Prathiksha Michael's education history includes a Bachelor of Computer Science and Technology from Karunya University. The specific field of study is Computer Science. No information is available regarding the start and end years of this education.
Data Semantics
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Founded in 2012, Data Semantics is a digital transformation company with a vision to empower every organization to harness the full potential of its data assets. In order to achieve this, we provide Business Intelligence, Application & Database Modernization, Data Warehousing and Digital Transformation solutions to enterprises across the globe. We have over 300 employees happily engaged in innovative and exciting projects across the globe. We are headquartered in Bangalore, India with our offices in 6 global locations including United Arab Emirates, USA and Europe. Data Semantics was listed as one of the top 20 Analytics companies by Silicon India 2018 & CIO Review India 2014 as one of the Top 20 BI companies. Our mission is to enable our people to learn the art of data management and visualization to help our customers make quick and smart decisions. Our Services include: Business Intelligence and Visualization Artificial Intelligence and Machine Learning Application and Data Modernization Robotic Process Automation Big Data Analytics Data Warehouse Modernization Advanced Analytics Internet of Things