Gupta A.

Gupta A.

Overall 6.5 Years of work experience in Data Science, Machine Learning and Deep learning

Pune , India

Experience: 7 Years

Gupta

Pune , India

Overall 6.5 Years of work experience in Data Science, Machine Learning and Deep learning

53382.4 USD / Year

  • Notice Period: 30 Days

7 Years

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About Me

  • Working as Data Analyst in Coupa Software and previously worked with Mercedes Benz R & D India for 6+ years as Senior CAE Analyst
  • Worked on Descriptive, Diagnostic, Predictive and Prescriptive Analytics to meet business goals
  • ...

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Portfolio Projects

1) Fraud Analysis: Expense report classification using Deep learning

Company

1) Fraud Analysis: Expense report classification using Deep learning

Role

Data Scientist

Description

There are lot of data of users who create expense report in their respective organisation and employees who try to do fraud will be caught using this deep learning analysis

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Tools

NumPy

Brake failure analysis

Company

Brake failure analysis

Role

Data Scientist

Description

Brake may fail if different brake disc are used for the conditions which are not suitable for those particular types of brake disc. So clusterning and classification technique are used to identify which brake disc would be suitable for which kind of conditions

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Skills

Deep Learning

Prediction of brake disc temperature

Company

Prediction of brake disc temperature

Role

Data Scientist

Description

Prediction of temperature of brake disc is important to save computational time which would be very high when people perform mechanical simulations

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Verifications

  • Profile Verified

  • Phone Verified

Preferred Language

  • English - Fluent

  • Hindi - Native/Bilingual

Available Timezones

  • Eastern European [UTC +2]

  • Eastern EST [UTC +3]

  • Greenwich Mean [UTC ±0]

  • Further EET [UTC +3]

  • Australian EDT [UTC +11]

  • Australian CDT [UTC +10:30]

  • Pacific Daylight [UTC -7]

  • Mountain Daylight [UTC -6]

  • Central Daylight [UTC -5]

  • Eastern Daylight [UTC -4]

  • Dubai [UTC +4]

  • New Delhi [UTC +5]

  • China (West) [UTC +6]

  • Singapore [UTC +7]

  • Hong Kong (East China) [UTC +8]