Harsh Shah
Angestellt, Machine Learning Engineer, paragon semvox GmbH
Abschluss: Master of Scieince, Universität Paderborn
Stuttgart, Deutschland
Über mich
I enjoy working on providing data science and software solutions to provide valuable insights from the data to support data-driven decision-making and solving problems. I have a master’s in Computer Science with a specialization in Data Science and expertise in Machine Learning, NLP, Data Analysis, and Software Development. Ich habe mehr als drei Jahre Erfahrung in der Bereitstellung von datengesteuerten Lösungen für Informatikprobleme. Ich habe an mehreren Data Science-Projekten mit Datenexploration und End-to-End Entwicklung von Machine Learning und Deep Learning Modellen auf verschiedenen Datensätzen gearbeitet. Erfahrung in der Bereitstellung datengesteuerter digitaler Lösungen unter Verwendung fortschrittlicher Techniken der Künstlichen Intelligenz und state-of-the-art Algorithmen. Expertise: Data Science, Machine Learning, and Software Development, Computer Vision, Data Analysis, Deep Learning, Natural Language Processing
Werdegang
Berufserfahrung von Harsh Shah
Bis heute 1 Jahr und 5 Monate, seit Jan. 2023
Machine Learning Engineer
paragon semvox GmbH
1 Jahr und 1 Monat, März 2021 - März 2022
Data Science Research Asistant / Data Scientist
Heinz Nixdorf Institut• Identify the potential of integration of AI solution using advanced data analysis techniques and data deep learning techniques in specific product creation and development process • Research and development towards data-driven digital solutions in the field of Requirement Engineering using advanced natural language processing techniques and machine learning algorithms • Developed a machine learning model which can automatically classify and categorize software requirements
8 Monate, Jan. 2021 - Aug. 2021
Masterarbeit:Argument Search Engine Optimisation
Universität Paderborn• Worked on the automatic textual snippet generation for an argument search engine • Used the graph-based extractive text summarization method inspired by Google’s PageRank algorithm • Trained the language model on custom data set using transfer learning techniques to improve the readability and representativeness for snippets in search engine • Improved the accuracy by 9% than previous snippet generation approach for an argument search engine
Extract data from the files and run it on extractors and convert extractors response in RDF triples to analyse the response • Train Machine Learning model (Random Forest Classifier, Decision trees) to predict the best extractor for the given category of text data • Performed Text Classification, Feature Extraction, Data preprocessing on the Dataset
1 Jahr, Juni 2016 - Mai 2017
software Developer ( Android Application Developer)
Nextsavy Technology
• Collaborated with a team to enhance, maintain and develop Java Desktop and Android Applications based on the user requirements • Developer responsible for the back-end analysis, bug fixing, maintenance and improving application performance
• Developed an android e-commerce application “Appist” in which the user can buy and manage products online • Wrote unit test for mobile codes, Test and Debugged android Applications with the system requirements Internship at Moweb Technology Pvt. Ltd. during final year project as an Android developer.
Ausbildung von Harsh Shah
5 Jahre, Sep. 2016 - Aug. 2021
Computer Science
Universität Paderborn
Machine Learning, Planning and Heuristic Search,Interactive Data Visualisation, Advanced Software Engineering, Intelligence in embedded system, Software Quality Assurance, Computational Argumentation, Computer Graphics
4 Jahre, Juli 2012 - Juni 2016
Computer Engineering
Indus University
Software Engineering, Artificial Intelligence, Data Structure and Algorithms Database Management, Data warehousing and mining
Sprachen
Englisch
Fließend
Deutsch
Gut
Gujarati
Fließend
Hindi
Fließend