Rama M.

Role
Director of Machine Learning at Comcast
Location
Philadelphia, PA, US
LinkedIn followers
500 followers

About Rama M.

A seasoned, results-oriented leader with deep experience in leading AI, ML and Analytics…

Experience

  1. Director of Machine Learning

    Comcast

    Jan 2020 — Present

    Lead a team of Machine Learning Researchers and ML Ops Engineers in Applied AI and Discovery, focused on the AIQ platform, which aims to improve customer experience. We develop innovative solutions using ML modeling, RL based Recommendation and Personalization solutions, NLP/NLU and the latest Generative AI technology to enable customer self-service via the Xfinity Assistant and Xfinity App.

Education

  • Indian Institute of Technology, Kharagpur

    B.Tech (Hons.), Chemical Engineering

  • The Wharton School

    Executive Program on Business Essentials, Marketing & Corporate Finance

    2009 — 2011

  • Sacred Heart Convent School Jamshedpur

    ICSE, High School/Secondary Diplomas and Certificates

  • Loyola School Jamshedpur

    High School, Maths & Computer Science

  • University of Massachusetts Amherst

    Doctor of Philosophy - PhD, Advanced Process Control

    1996 — 2000

Skills

  • Lean Manufacturing
  • Project Engineering
  • Six Sigma
  • Energy
  • Business Process Improvement
  • Customer Insight
  • Product Development
  • Process Simulation
  • Business Strategy
  • Continuous Improvement
  • Analysis
  • Process Engineering
  • Customer Experience
  • Strategy
  • Cross-Functional Team Leadership
  • Management
  • Process Improvement
  • Quality Management
  • Customer Service
  • Leadership
  • Root Cause Analysis
  • Manufacturing
  • Chemical Engineering
  • Business Process
  • Advance Business Analytics
  • Strategic Planning
  • Project Management
  • Engineering
  • Statistical Data Analysis
  • Dmaic
  • Program Management
  • Project Planning
  • Change Management
  • Operations Management

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Rama M. — Director of Machine Learning at Comcast in Philadelphia, PA, US | Unifers