Vibhas Jaiswal

Evaluation of Potential of Predictive Maintenance 4.0 Predictive Maintenance means applying ML-techniques to find meaningful patterns in vast amounts of operational data about machines’ conditions and generate new, actionable insights for improving up-time of machines and improving safety. The Thesis involves planning maintenance on the portfolio of Giesecke+Devrient Currency Technology High-speed Banknote Processing Systems right before failure occurs.

Data Analytics Team within R&D Software Department, Currency Management Solutions. BPS Machines from G+D Currency Technology evaluate 8 parameters to determine each banknote's health. The software predicts fitness thresholds, identifies unfit banknotes, and predicts a banknote shredding rate.

Scholarship to learn German in a specialized language-course in the fourth level (B2) of the six-level scale of learning (A1-C2).

Studied the Power Sector involvement of an Oil & Gas multinational at Essar Power 270MW, Hazira. Finished a 2 month-onsite project on improving efficiency of IDCT Cooling Towers.

Econometrics, Political Science, Macroeconomics, Mathematical and Statistical Methods

Machine Design and Drawing, Thermodynamics, Calculus, Algebra, Physics, Chemistry