Karan Kacker

About Karan Kacker

Data scientist who works on product analytics for the Microsoft Devices organization driving a culture of using a data centric approach towards product making. Enjoy the challenge of using advanced analytical techniques (both statistical and ML / AI based) to tell a simple yet compelling story with data. Fast learner who likes the opportunity of using ones creativity on open ended, ambiguously defined problems. Value creating a collaborative work environment which supports a diversity of perspectives. Operate at the intersection of data science, hardware engineering, and software engineering. Have a background in statistics, quality / reliability engineering, consumer electronics, battery technologies, and semiconductors.

Experience

1. Principal Data Scientist Lead

   Microsoft

   May 2017 — Present

   Worked on the first Surface device and have continued to enjoy the opportunity to learn and have an impact as part of the Microsoft Devices organization (which grew from the Microsoft Surface organization). Currently lead a team of data scientist in the Microsoft Device organization that operate at the intersection of telemetry data, hardware engineering, and software engineering. As part of the Microsoft Device organizations, our team is on a journey to create a “culture of data” in the Microsoft Devices organization.This has included articulating a clear vision for the organization and evangelizing telemetry across the org by encouraging instrumenting telemetry, enabling data discovery, and providing guidance on data analysis with a focus on scaling this broadly across the organization. Work with teams across the organization for prototyping new metrics and analysis techniques (both statistical and ML based models) related to devices. This includes creating ML based classification models to understand feature significance and create predictive models related to hardware quality.

Education

• Georgia Institute of Technology

  Master of Science - MS, Mechanical Engineering

• Delhi College of Engineering

  Bachelor of Engineering - BE, Mechanical Engineering

• Georgia Institute of Technology

  Doctor of Philosophy - PhD, Mechanical Engineering

Skills

• Failure Analysis
• Power Systems
• Mems
• Simulations
• Mechanics
• Statistics
• Finite Element Analysis
• R&D
• Root Cause Analysis
• Minitab
• Sensors
• Testing
• Reliability
• Reliability Analysis
• Connectors
• Reliability Engineering
• Weibull Analysis
• Design of Experiments
• Jmp
• Electronics Packaging
• Ansys
• Semiconductors
• Doe