
Roshwin Sengupta
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Roshwin Sengupta
- Bis heute 5 Jahre und 9 Monate, seit Sep. 2019
Doctorate Student
Universitaet Stuttgart
Doctorate student with the research focus on Stochastic Computing and Neural Networks.
- 1 Jahr und 2 Monate, Mai 2018 - Juni 2019
Werkstudent
Magneti Marelli GmbH
Development of algorithms/startup codes as a part of board bring-up. Additionally, it is also my responsibility to automate the boot-up sequence. technologies used are Python, .cmm scripts for Lauterbach, CANoe, ARM Cortex R5F architecture based controllers. Software Development LifeCycle followed was V model.
Smart Office development involving Internet of Things and Cloud computing. The target was to determine various sensor values and number of people present in any room at any time. A digital twin was developed to visualize the information. Extensive programming in Python and SWIFT was required.
I gained experience in Data Warehousing and Data Management. I was responsible for creation of golden record of data by using ETL and then MDM tools. After cleansing the data from errors, I had to properly identify the duplicate records and then make sure that the final data was a golden record. For this I had to work on Informatica PowerCenter, Informatica MDM or IBM MDM. Along with this I had to manage the client side of Oracle DB for managing the records.
Ausbildung von Roshwin Sengupta
- 2 Jahre und 6 Monate, Okt. 2016 - März 2019
MS in Embedded Systems
Universität Stuttgart
Internet of Things Industrial Automation Systems Embedded Systems Engineering Electronic Design Automation Hardware Oriented Security Real Time Programming Computer Architecture
- 4 Jahre, Aug. 2011 - Juli 2015
Electronics and Communication Engineering
Institute of Engineering and Management, Kolkata
Embedded Systems Microprocessor and Micro-controllers Digital Electronic and Integrated Circuits Digital Signal Processing Digital Image Processing Data Structure & C Data Base Management Systems Wireless Communication & Network
Sprachen
Deutsch
Gut
Englisch
Fließend
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