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Rajesh Siraskar
Data Scientist at KPIT
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Rajesh Siraskar
Data Scientist at KPIT
Joined 08/01/2017
Level: LEVEL 01 (12 mo pts: 0 pts)
Lifetime points: 22 pts
- Apply data science (statistics and machine learning techniques) to solve customer problems
- Worked on: IoT based predictive maintenance of motors, gear boxes (warning of early failures), work force forecasting, warranty analytics etc.
- Techniques: Forecasting, anomaly detection, pattern detection, behavioral insights on processes.
- 7+ years of Statistics and Data Science related experience
- Total experience of 24 years
- International work exposure (US, UK, Singapore and Thailand)
CERTIFICATIONS:
- Machine Learning: Stanford University and John Hopkins University
- Six Sigma and Statistics: Certified by American Society for Quality as a Six Sigma Black Belt
- PMP certified
Previous roles:
- SixSigma Master Black Belt and Black Belt (6 years)
- IT software development, project/program management (13 years)
Specialize in:
- Applying data science techniques to solving engineering and business problems
- Applying Six Sigma and Lean methodology for process improvement
Tools:
- Primary data science tool: R
- Secondary data science tools: Matlab and Octave
- Tableau, R's ggplot2 and Shiny (for visualization and web-based interactive applications)
- Big data platforms: Hadoop, Kafka real time data streaming
- SAP HANA's PAL (Predictive Analytics Library)
- Worked on: IoT based predictive maintenance of motors, gear boxes (warning of early failures), work force forecasting, warranty analytics etc.
- Techniques: Forecasting, anomaly detection, pattern detection, behavioral insights on processes.
- 7+ years of Statistics and Data Science related experience
- Total experience of 24 years
- International work exposure (US, UK, Singapore and Thailand)
CERTIFICATIONS:
- Machine Learning: Stanford University and John Hopkins University
- Six Sigma and Statistics: Certified by American Society for Quality as a Six Sigma Black Belt
- PMP certified
Previous roles:
- SixSigma Master Black Belt and Black Belt (6 years)
- IT software development, project/program management (13 years)
Specialize in:
- Applying data science techniques to solving engineering and business problems
- Applying Six Sigma and Lean methodology for process improvement
Tools:
- Primary data science tool: R
- Secondary data science tools: Matlab and Octave
- Tableau, R's ggplot2 and Shiny (for visualization and web-based interactive applications)
- Big data platforms: Hadoop, Kafka real time data streaming
- SAP HANA's PAL (Predictive Analytics Library)
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