Suraj H.

Lead Data Scientist at C3 AI
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Contact Information
us****@****om
(386) 825-5501
Location
San Francisco Bay Area
Languages
  • English -
  • Kannada -
  • Hindi -
  • Telugu -

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Credentials

  • Secure Software Design Specialization
    Coursera
    Oct, 2018
    - Nov, 2024
  • Software Design Methods and Tools
    Coursera
    Oct, 2018
    - Nov, 2024
  • Software Design Threats and Mitigations
    Coursera
    Oct, 2018
    - Nov, 2024
  • Software Design as an Abstraction
    Coursera
    Oct, 2018
    - Nov, 2024
  • Software Design as an Element of the Software Development Lifecycle
    Coursera
    Oct, 2018
    - Nov, 2024
  • Machine Learning
    Coursera Course Certificates
    Aug, 2016
    - Nov, 2024
  • Data Visualization Course
    Dataquest.io
    Feb, 2016
    - Nov, 2024
  • Data Visualization Course
    Dataquest.io
  • Python Programming: Beginner Course
    Dataquest.io

Experience

  • C3 AI
    • United States
    • Software Development
    • 100 - 200 Employee
    • Lead Data Scientist
      • Dec 2021 - Present

      I lead the data science product development for C3 AI Reliability, a product focused on delivering at-scale machine learning solutions to address the problem of asset predictive maintenance.

    • Senior Data Scientist
      • May 2020 - Dec 2021

      1. Deployment of hundreds of ML models to serve predictions in near real time at one of the largest banks in the world2. Incorporation of uncertainty in model estimates into making better and more robust business decisions3. Integration of state of the art ML model interpretability techniques for more informed RCA4. Anomaly detection through automated feature engineering for Reliability applications in production manufacturing

    • Data Scientist
      • May 2018 - May 2020

      Manufacturing:1. Yield Optimization for a major petrochemicals manufacturerEnergy:1. Predictive Maintenance for a big O&G pipeline company2. Asset efficiency forecasting at one of the largest O&G companies in the worldFinancial Services:1. Uncertainty estimation in Securities Lending at one of the world’s largest banks2. Customer churn prediction

  • Stanford University
    • United States
    • Higher Education
    • 700 & Above Employee
    • Graduate Teaching Assistant
      • Jan 2018 - Mar 2018

      Teaching assistant for the course Deep Learning, taught by Dr. Andrew Ng and Kian Katanforoosh

    • Graduate Teaching Assistant
      • Sep 2017 - Dec 2017

      Teaching Assistant for the course - Machine Learning (CS 229) - taught by Dr. Andrew Ng

  • SLB
    • United States
    • Technology, Information and Internet
    • 700 & Above Employee
    • Machine Learning Intern
      • Jun 2017 - Sep 2017

      I worked on two projects during my time here. The first project was to implement machine learning algorithms to automate the decision making process during the make-up process between a pair of casings in oil wells. The second project I worked on was to build a surrogate model for approximating a non-differentiable and non-continuous function with as few data points as possible, for a multitude of downstream tasks. I worked on two projects during my time here. The first project was to implement machine learning algorithms to automate the decision making process during the make-up process between a pair of casings in oil wells. The second project I worked on was to build a surrogate model for approximating a non-differentiable and non-continuous function with as few data points as possible, for a multitude of downstream tasks.

  • Airbus
    • France
    • Aviation and Aerospace Component Manufacturing
    • 700 & Above Employee
    • Summer Intern
      • May 2015 - Jul 2015

      Surrogate Modelling for Parasitic Drag Calculations Investigated and implemented a novel Response Surface Modelling method for extremely fast, yet highly accurate system of drag calculations for Airbus aircraft. Developed a fully automated routine that increased the efficiency of drag calculation to an average of 97% while decreasing the time of processing drag values for a single test case from 8 hours, previously, to 10 seconds. Also pitched in the idea of using the newly created automated routine to roughly design the individual parts of the aircraft in the early stages so as to improve the efficiency of the design stage of manufacturing. My product was well received and is expected to be used in the processing of drag numbers for Airbus A320NEO and Airbus A330NEO aircraft soon. Show less

  • National Aerospace Laboratories, Bangalore
    • Research
    • 500 - 600 Employee
    • Research Intern
      • May 2014 - Jul 2014

      Investigations into Low Speed, Low Reynolds Number flows on a Delta Wing. Rigorous research into the phenomenon of Laminar Separation Bubbles. Investigations into Low Speed, Low Reynolds Number flows on a Delta Wing. Rigorous research into the phenomenon of Laminar Separation Bubbles.

Education

  • Stanford University
    Master of Science (M.S.), Computational and Applied Mathematics
    2016 - 2018
  • Indian Institute of Technology, Madras
    Bachelor’s Degree, Aerospace Engineering
    2012 - 2016

Community

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