Sunil Manikani is a seasoned technology professional with extensive experience in software development and data science. Starting as a Software Engineer at Patni Computer Systems, Sunil contributed to multimedia projects for automotive clients before transitioning to a Software Consultant role at Capgemini, focusing on laboratory automation for the biomedical sector. From May 2012 to June 2015, Sunil served as a Team Leader and Software Developer at Schlumberger, leading the Innerlogix DQM product suite. Currently, at SLB since February 2019, Sunil holds the position of Data Science Manager, guiding a team in deploying machine learning models for digital energy transition technologies. Academic achievements include a BE in Computer Science, a Master's in Computer Science, a PGDBA in Business Analytics, a Diploma in Renewable & Sustainable Energy, and ongoing doctoral studies in Generative AI at Golden Gate University.
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