To predict the tool breakages in a cold forming machinery line for a Tier 2 Automobile Supplier by collecting the relevant and fruitful data from various IT systems such as SAP ERP, PP, WM etc and colle cting sensors data from the Edge Devices.
To predict the quality status of Alumina’s (AL2O3) Specific Surface Area (SSA) for upcoming batches and taking corrective action on input process parameters to prevent and reduce the number of faults (slides) and anomalies.
Predicting the quality status of aluminium coil coming from TCF Casting Machine for upcoming batches and taking corrective action on input process parameters to reduce the number of defective pieces
To reduce inventory cost by predicting whether OEM needs a backup battery in the truck or not.
To optimize long term and intraday contracts by predicting energy consumption and generation uncertainties.
2010 - 2015
Institution: TU Darmstadt & Indian Institute of Technology, Bombay, India
Education: Major Signal Processing Engineering
Graduation: Bachelor?s degree & M aster?s degree in engineering (Integrated 5 years)
Profile
With a Masters in Signal Processing from TU Darmstadt and IIT Bombay, and further extensive experience in building machine learning applications, he spans the entire AI value chain, from use case identification and feasibility analysis to implementation of custom made statistical models and applications. Throughout projects, he stays focused on solving the business problem at hand and creating value from data.
Technical:
Professional Experience
12/2016 - today
Role: Senior Data Scientist
Customer: on request
Place: Frankfurt
Tasks:
Built highly profitable and world class industrial Artificial Intelligence software products
07/2015 - 11/2016
Role: Cloud Design Engineer
Customer: NTT Communications
Place: Tokyo
Tasks:
04/2014 - 04/2015
Role: Data Engineer, Self driving Rover
Customer: Mars Society Australia
Place: Melbourne
Tasks:
To predict the tool breakages in a cold forming machinery line for a Tier 2 Automobile Supplier by collecting the relevant and fruitful data from various IT systems such as SAP ERP, PP, WM etc and colle cting sensors data from the Edge Devices.
To predict the quality status of Alumina’s (AL2O3) Specific Surface Area (SSA) for upcoming batches and taking corrective action on input process parameters to prevent and reduce the number of faults (slides) and anomalies.
Predicting the quality status of aluminium coil coming from TCF Casting Machine for upcoming batches and taking corrective action on input process parameters to reduce the number of defective pieces
To reduce inventory cost by predicting whether OEM needs a backup battery in the truck or not.
To optimize long term and intraday contracts by predicting energy consumption and generation uncertainties.
2010 - 2015
Institution: TU Darmstadt & Indian Institute of Technology, Bombay, India
Education: Major Signal Processing Engineering
Graduation: Bachelor?s degree & M aster?s degree in engineering (Integrated 5 years)
Profile
With a Masters in Signal Processing from TU Darmstadt and IIT Bombay, and further extensive experience in building machine learning applications, he spans the entire AI value chain, from use case identification and feasibility analysis to implementation of custom made statistical models and applications. Throughout projects, he stays focused on solving the business problem at hand and creating value from data.
Technical:
Professional Experience
12/2016 - today
Role: Senior Data Scientist
Customer: on request
Place: Frankfurt
Tasks:
Built highly profitable and world class industrial Artificial Intelligence software products
07/2015 - 11/2016
Role: Cloud Design Engineer
Customer: NTT Communications
Place: Tokyo
Tasks:
04/2014 - 04/2015
Role: Data Engineer, Self driving Rover
Customer: Mars Society Australia
Place: Melbourne
Tasks:
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