Ramalingam Subramanian

Head & COE - Analytics , Ai/ml at Automus Consulting Inc.

Ramalingam Subramanian has over 18 years of experience in the field of analytics, AI/ML, and IT. Ramalingam is currently the Head & COE - Analytics, AI/ML at Automus Consulting Inc. In this role, they built an AI/ML team from scratch and led the product team in creating advanced forecasting tools for Oracle Fusion demand forecasting. Ramalingam also set up a demo Lab on IoT-based Cycle counting, impressing clients.

Prior to their current role, Ramalingam worked as a Senior Manager - GTM Strategy and Analytics at Twilio, where they combined their IT experience and leadership skills to create vision on 360-degree GTM Strategy & Analytical Practices. Ramalingam provided high-impact Data Analytics/Management and Automation Solutions to BU leaders and promoted a data-driven culture within the organization.

Before joining Twilio, Ramalingam served as a Senior Manager and Analytics Manager at Accenture, where they led a team of over 50 members and showcased expertise in healthcare, HCM, SCM, and WMS domains. Ramalingam also played a key role in client engagements and RFPs/RFIs for new project opportunities.

Ramalingam's work experience also includes roles such as Technical Architect at DAZ Systems Inc., BI Architect/Consultant at L.A. Care Health Plan, and Senior BI Consultant at Lockheed Martin. Ramalingam started their career at Wipro as a Senior Programmer and later held the position of Technical Lead.

Throughout their career, Ramalingam has demonstrated a strong focus on data analytics, IT solutions, and leadership.

Ramalingam Subramanian obtained a Bachelor's Degree in Electronics and Instrumentation from Pondicherry Engineering College in 2005. In 2022, they completed a Master's degree in PGPEM from the Indian Institute of Management Bangalore. Ramalingam also holds various certifications in fields such as machine learning, big data, cloud computing, and project management.

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L.A. Care Health Plan logo
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Timeline

  • Head & COE - Analytics , Ai/ml

    June, 2023 - present