Data Semantics
Imaduddin Shah Mohammed began their work experience as a Trainee at IT NET india in 2006. Imaduddin then worked as a Software Engineer at MAT Software Solutions from 2007 to 2008. In 2008, they joined Thimar food product Pvt. Ltd as a Software Engineer. From 2009 to 2014, Imaduddin worked at Rubaiyat Modern Luxury as an AX Technical Consultant/Program Analyst. In 2014, they joined Data Semantics as an ETL & Database Team Lead, and later held roles as a Program Manager, Practice Head for Data Platform & Visualization, and currently as the CTO since April 2018.
Imaduddin Shah Mohammed pursued their education in a chronological order. Imaduddin began their educational journey in 2003, enrolling at Jawaharlal Nehru Technological University where they obtained their Bachelor's degree in Electronics and Communication in 2007. Later, in 2015, Imaduddin pursued further education at the same university and completed their Master's degree in Computer Engineering in 2016. Additionally, they hold a certification in Microsoft Dynamic AX 2009 from Microsoft.
Data Semantics
2 followers
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