Vineel Kumar

Vineel Kumar Email and Phone Number

Senior Data scientist @ Baker Hughes
houston, texas, united states
Vineel Kumar's Location
Bangalore Urban, Karnataka, India, India
Vineel Kumar's Contact Details

Vineel Kumar work email

Vineel Kumar personal email

About Vineel Kumar

GE certified data scientist with 9 years of professional experience in data science and in Engineering. A proven engineer in accomplishing critical projects through effective project management. Currently associated with GE-Aviation as 'Lead Engineer' in the Services Analytics team- GE Certified Data analytic Engineer- Familiarized with different machine learning techniques in regression & classification tasks

Vineel Kumar's Current Company Details
Baker Hughes

Baker Hughes

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Senior Data scientist
houston, texas, united states
Website:
bakerhughes.com
Employees:
55774
Vineel Kumar Work Experience Details
  • Baker Hughes
    Staff Data Scientist
    Baker Hughes Apr 2023 - Present
    Bengaluru, Karnataka, India
  • Siemens Gamesa
    Associate Consultant - Data Scientist
    Siemens Gamesa Feb 2021 - Apr 2023
    Greater Bengaluru Area
  • Deloitte Consulting - Contract
    Data Scientist
    Deloitte Consulting - Contract Oct 2020 - Jan 2021
    Bangalore Urban, Karnataka, India
  • Ge Aviation
    Lead Engineer - Data Scientist
    Ge Aviation Apr 2016 - Jul 2020
    Bengaluru Area, India
    Component Damage Prediction Analytic • Developed data science-based damage analytics to predict damage on engineering components, usingaircraft engine operational parameters (time series data)• Feature Engineering - Created the summarized features from the time series data• Ensemble (Random Forest, Gradient Boosting) & Regularization algorithms are used for feature ranking• Performed correlation & density plot studies to screen the features• Regression models used to build final predictive models with 68% Rsquare• Collaborated with global teamsPredictive Maintenance of a gas turbine engine part using LSTM RNNs to predict the remaining useful life of the part. - Regression Problem • A 3 layer LSTM Recurrent Neural Networks has used to predict the remaining useful life of the gas turbine part and it is implemented in keras. • Achieved a 60% Rsquare by tuning various hyper parameters GE Health care Hackathon (Team Participation)• Built a deep denoiser CNN model to enhance the PEC scan image features•“Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising “architecture hasconsidered for this problem• Transfer learning has implemented to reduce the computational time• Tensorflow library has used to build this modelLead Engineer - Mechanical Design• Hardware owner of LEAP-1A/1C HPC Extension case and GP7200 A & B Sumps/Bearing compartments.Being a hardware owner, hold and executed the role responsibly by taking care of the process changes, vendor source (VSE) approval for the manufacturing process.• Management award for excellence in hardware ownership and Material Review Board (MRB)certification in structures commodity.
  • Ge Aviation
    Lead Engineer
    Ge Aviation Apr 2015 - Apr 2016
    Bengaluru, Karnataka, India
    -Led and executed static parts certification, life and design analysis programs across engine lines -Cost focal for the LEAP cost out team. -Effectively communicated and Collaborated with different groups at global sites and executed program plans-Understood the engine service manual (ESM) limits and proactively substantiated the MRBs(Any deviation from drawing) & Field issues appropriately.
  • Ge Aviation
    Engineer (Eedp)
    Ge Aviation Aug 2011 - Apr 2015
    Bangalore
    Working on gas turbine engines/aircraft engines as a design engineer. And the Roles & Responsibilities are as follows.-Led and executed static parts certification, life and design analysis programs across engine lines -Cost focal for the LEAP cost out team. -Effectively communicated and Collaborated with different groups at global sites and executed program plans-Understood the engine service manual (ESM) limits and proactively substantiated the MRBs(Any deviation from drawing) & Field issues appropriately. -Documented all results of assigned programs with proper review rigor and ensured all deliverables of assigned programs meet the required expectation.

Vineel Kumar Skills

Stress Analysis Aerospace Gas Turbines Engineering Mechanics Of Materials Ansys Hypermesh Finite Element Analysis Structures Aircraft Propulsion Cae Composites Unigraphics Nx Unigraphics Simulations Nastran Catia Cfd Aerodynamics Computational Fluid Dynamics Python Keras Data Scientist Data Analysis Machine Learning Tensorflow Fatigue Analysis Scikit Learn Jmp Spotfire Data Visualization

Vineel Kumar Education Details

Frequently Asked Questions about Vineel Kumar

What company does Vineel Kumar work for?

Vineel Kumar works for Baker Hughes

What is Vineel Kumar's role at the current company?

Vineel Kumar's current role is Senior Data scientist.

What is Vineel Kumar's email address?

Vineel Kumar's email address is vi****@****ail.com

What schools did Vineel Kumar attend?

Vineel Kumar attended Indian Institute Of Technology, Kharagpur, Nalanda Junior College, Aeronautical Engineering Society Of India.

What are some of Vineel Kumar's interests?

Vineel Kumar has interest in Philately, Finite Element Method, Cricket.

What skills is Vineel Kumar known for?

Vineel Kumar has skills like Stress Analysis, Aerospace, Gas Turbines, Engineering, Mechanics Of Materials, Ansys, Hypermesh, Finite Element Analysis, Structures, Aircraft, Propulsion, Cae.

Who are Vineel Kumar's colleagues?

Vineel Kumar's colleagues are Carlos Eduardo Diaz Puentes, Jivitha Selvamohan, Anja Schnee, Marco Fabbrini, Josie T. Hernandez, Freddy R Samaniego, Gurtaj Singh Raman.

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