Ing. Prasanna Albal

Bis 2019, Research assistant, Faculty of Technical Sciences

Abschluss: M.Eng, SRH Hochschule Heidelberg

Mannheim, Deutschland

Fähigkeiten und Kenntnisse

Embedded Software
Automotive Electronics
Image Processing
AUTOSAR
Robotics
Machine learning
Artificial Neural Networks
Artificial intelligence
MatLab
LabVIEW
Verfahren
Python

Werdegang

Berufserfahrung von Prasanna Albal

  • 6 Monate, Dez. 2018 - Mai 2019

    Research assistant

    Faculty of Technical Sciences

    Condition Monitoring and Error Detection in Induction Motors using ANN Motor vibration analysis LabView NI analog data acquisition Research on vibration analysis methods MATLAB simulation Machine Learning and Pattern Recognition

  • 1 Jahr und 3 Monate, Aug. 2015 - Okt. 2016

    Manufacturing Maintenance Executive

    Hindustan Coca-Cola Beverages Pvt Ltd

    • Automation and control engineer using PLC S-7 • Project: AOH Handling and Sensor Calibration in KRONES (Hot Fill) and SIDEL (Combi) Machines • Product installation and Commissioning with OEMs • Maintenance scheduling using SAP tools • Hands-on troubleshooting during break downs • Total Productive Maintenance (TPM) implementation in Utilities and production lines. • Operational Excellence and KPI target achievements • RCA (Root Cause Analysis) for the break downs

  • 8 Monate, Okt. 2014 - Mai 2015

    Research assistant

    Navya Biological Pvt Ltd

    Online monitoring and controlling of Methanol in a cell density fermentation-Pechia Pastoris In the process of artificial manufacturing of human cells requires Methanol in Pechia Pastoris method. During the process Methanol concentration should be monitored by human intermission if very minute amount of methanol exceeds the process has to be drained. Hence the industry Navvya Biologicals Pvt Ltd approached and the solution and online monitoring device developed for them.

Ausbildung von Prasanna Albal

  • 1 Jahr und 9 Monate, Sep. 2017 - Mai 2019

    Informationstechnik

    SRH Hochschule Heidelberg

    Embedded Systems, Embedded Software, Image Processing and Robotics

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Gut

Interessen

Automotive software
Aerospace
Photography
Sports

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