Build data-driven models to understand the characteristics of engineering systems
Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems
Train, tune, validate, and monitor predictive models
Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats
Establish scalable, efficient, automated processes for large scale data analyses
Package and present the findings and communicate with large cross-functional teams
Education Qualifications
B.E., B.Sc., B.Tech., CA, CA - Inter, MBA, MCA
No. of years of experience
3 to 5 years
Area of professional exposure (technical skills)
M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field
2 to 5+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms
2 to 5+ years of experience in Python language
Skill Team
Global Data Insights & Analytics
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