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Engineer Test Data Analysis & Calibration

2.00 to 4.00 Years   Bangalore   10 Jul, 2021
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Desired Skill Set:

  • 2 to 4 years of experience in Data Collection, Classification and Analysis in Powertrain Component and system level Validation, Automobile sector, having exposure to international work environments, specialized in durability testing and data analysis.
  • Data Analysis using Python (Pandas, NumPy, Seaborn, Matplotlib, Sklearn, Re, Asammdf, jBEAM & Tableau) to extract and plot data from mdf, xml, csv & txt test data.
  • Exhaust Test (WLTC) data & Dauerlauf data analysis using Python, jBeam & Tableau.
  • Data cleansing & processing using Machine Learning model like Logistic regression in Python to identify valid data for analysis and Exploratory Data Analysis (EDA) & Data Visualization.
  • Working with structured and unstructured Data sets like MDF3, MDF4, CSV, XML, excel & txt for data extraction and analysis.
  • Familiarization with PySpark & SQL
Roles & Responsibilities:
  • Transmission/Engine data analysis & critical issue reporting.
  • Generate report as per Daimler AG guidelines.
  • Establish communication with Daimler AG, Germany and coordination between MBRDI & Daimler AG.
  • To work independently on a projects.
  • Ensure project is delivered on time meeting all the quality requirements.
  • Assume responsibility and dive ownership in a team.
  • Proper documentation of technical data consistent with internal procedures.
  • Provide timely communication about issues and development.
  • Lead project review meetings.
  • Develop and implements risk mitigation plans for off-schedule and unanticipated occurrences
  • Work upon the continuous improvement of key performance indicators of project. Exhaust after treatment system calibration like DOC, DPF & SCR
  • Diagnostics & OBD calibration
  • Market specific calibration
  • Passionate about using technology to solve problems.
, Qualification:Be Mechanical/Automotive/Industrial Production

Keyskills :
exploratory data analysiskey performance indicatorsenvironmental impact assessmentdata analysisproject reviewdata collectiondata extractionrisk mitigationmachine learningunstructured datadurability testing

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