Vaibhav Vishnoi

About Vaibhav Vishnoi

As a seasoned professional with over 20 years of experience, I bring comprehensive expertise in Data Science and AI. My journey spans the entire project lifecycle, from research and problem formulation to algorithm design, prototype development, and operationalization.Career Highlights:• Technical Leadership: Hands-on technical leader skilled in Machine Learning, data mining, predictive modeling, and related computational algorithmic approaches. Held roles at Amazon, Microsoft, Bayer, Commonwealth Bank of Australia, and American Express.• Extensive Domain Experience: Demonstrated leadership and hands-on experience in diverse sectors like Tech, Finance, and Healthcare. A proven track record in delivering data science solutions and adding commercial value in fields including Cloud Computing, Healthcare, E-Commerce, Financial Services, Payments, Social Media, and Entertainment.• Innovation and Delivery Focus: Established history of innovating and delivering data science solutions, significantly impacting both new and established business functions.• Current Role: Leading data science initiatives for Cloud Capacity Planning at Microsoft\'s Cloud and AI organization.• Global Exposure: Professional experience in the USA, Australia, India, and Europe, enriching my perspective and approach.• Entrepreneurial Spirit: A unique blend of data science, applied research, commercial acumen, and product development skills.

Experience

1. Principal Data & Applied Scientist

   Microsoft

   Jan 2023 — Present · Mountain View, CA, US

   Leading data science efforts for Capacity Planning to support Cloud Supply Chain and Provisioning business.

Education

• IBM Research Lab

  Researcher (Part Time), Image Processing and Computer Vision

  2003 — 2003

• Institute fur Wischenchaftlisches Rechenen, TU-Dresden, Germany

  Research Internship, Partial Derivatives and Automatic Differentiation

  2002 — 2002

• Indian Institute of Technology, Delhi

  Integrated M.Tech (B.Tech, M.Tech), Mathematics and Computing

  1998 — 2004

• Monash University

  Research Internship, Algorithm Design and Development, Image Processing

  2001 — 2001

Skills

• Risk Management
• Acquisition Targeting
• Statistical Modeling
• Social Media Marketing
• Information Retrieval
• Cluster Analysis
• Online Advertising
• Ensemble Learning
• Target Marketing
• Machine Learning
• Predictive Analytics
• Online Payment
• Predictive Modeling
• Fraud Detection
• Data Mining
• Big Data
• Online Machine Learning
• Target Segmentation
• Decision Trees
• Strategy
• E-Commerce
• Text Mining
• Risk Modeling