Hardik Gadher

BI Development

• Grundlagen in Microsoft Azure AI Engineering • Einführung in Data Engineering auf Microsoft Azure • Erste Schritte in Data Science mit Azure Machine Learning • Grundlegende Kenntnisse in Data Analytics auf Azure

• End-to-End-Verantwortung für das Datenmanagement • Datenmanipulation Data-Cleaning, Umwandlung & Auswertung von Datenformat • Erstellung von Datenmodellen & Auswertungen, Erreichen der Modelleffizienz. • Algorithmen- Entwicklung von für die Analyse und Auswertung in Python

Developing Morphological Mathematical Model for Deconvolution. Development of Photo-induced force microscopy. Image analysis of AFM Images. Documentation of literature regarding image convolution effects. Reviewing publications of image convolutions effects and its deconvoluting methods.

Data analysis of silicon wafer production. Data Visualization using Grafana dashboard Monitoring tool. Data cleaning of input data. Machine Learning approach for data visualization using Python and Database connection Development of dashboard system for real-time data sources.

Software development in Python. Updation of Python 2 codes. Calibration of Polarization microscopical data. Development of Live 2D Polarization microscopy. Calculations and Image Implementation from the previously developed method. Documentation of developed Software and microscopy method.

Image analysis in Matlab Image Acquisition tool. Auto-detection and Edge detection method in Python for Input Images. The approach of Deep Learning methods. Data analysis in MS Excel, Documentations & validation of the results & data interpretation.

Focus on the area of : Digitale Bildverarbeitung. Photonik Optische Messtechnik Opto Mechatronik Opto Elektronik

Focus on the are of: Engineering Mathematics Numerical Mathematics Physics IC Engine Control Engineering Measurement technologies