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Experienced Artificial Intelligence Leader | Deep Learning | Cognitive Information Discovery | Time Series | Multiple Patents and Publications
Highlights: -- Built the world's first multimodal foundation model for biology combining textual and graph modalities -- Two publications in machine learning in one of the most reputed and more than 100 years old journal of Physical Review. -- My PhD thesis was deemed as an exceptional thesis. -- Multiple granted patents in the area of deep learning. -- An early stage member of India's first unicorn -- Expertise in wide range of inference algorithms. -- Passion for taking research to production scale software. -- Strong desire to aggressively learn and seek out new relevant technologies.
Macquarie University
PhD, Physics
January 1, 2014 – Present
Texas A&M University
MS, Dynamics and Control
January 1, 2005 – Present
Indian Institute of Technology, Bombay
BTech
January 1, 2003 – Present
EY
Assistant Director - Artificial Intelligence
May 1, 2021 – June 1, 2024
Pune Division, Maharashtra, India
Innoplexus
Head of Artificial Intelligence
September 1, 2019 – February 1, 2021
Pune Area, India
Innoplexus
Lead Data Scientist
October 1, 2018 – February 1, 2019
Pune/Pimpri-Chinchwad Area
Wipro Limited
Lead Machine Learning Consultant
May 1, 2016 – May 1, 2018
Pune/Pimpri-Chinchwad Area
MediaCorp Pte Ltd
Data Scientist, Senior Manager
September 1, 2015 – April 1, 2016
Singapore
YuMe
Senior Data Scientist
September 1, 2014 – August 1, 2015
Chennai
Macquarie University
Graduate Researcher
September 1, 2010 – September 1, 2014
Greater Sydney Area
InMobi
Software Engineer
January 1, 2009 – September 1, 2010
Bangalore
Outdu
Senior Analyst
June 1, 2007 – January 1, 2009
Bangalore
Cultural Fit Analysis
The candidate has a diverse professional background spanning various industries including consulting (EY), biotech/pharma (Innoplexus), IT services (Wipro), media (MediaCorp, YuMe), and ad-tech (InMobi, Outdu). This breadth of experience suggests adaptability and exposure to different organizational cultures and problem domains. While the target role is 'Data Analyst', the candidate's experience is heavily skewed towards 'Data Scientist' and 'AI/ML Engineer' roles, which are typically more advanced and research-oriented than a standard Data Analyst position. This might indicate a potential mismatch in role expectations or a desire for a more hands-on analytical role. The extensive academic background (PhD, MS, BTech) from reputable institutions further supports a strong analytical and research-oriented mindset.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight strong communication skills, as explicitly listed in their job roles. Their leadership positions suggest abilities in team collaboration and strategic thinking. The detailed project descriptions indicate a structured approach to problem-solving and an understanding of business requirements. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.