
Sweekar Revanna
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Sweekar Revanna
- 7 Monate, Apr. 2019 - Okt. 2019
Master-Thesis Research student
Daimler Mobility AG
1. Developed two test automation scripts in R to detect defects in data and in model. 2. I also programmed a script in python to perform API requests to Kaggle website and extract text data. 3. Another script was developed to filter out unwanted data and analyze the statistics of the different defects affecting the model using pySpark by uploading to the Microsoft Azure cloud platform.
- 1 Jahr und 6 Monate, Okt. 2017 - März 2019
Werkstudent
Daimler Mobility AG
1. Working with the Advanced analytics team on considering DevOps option for Data Science. 2. Explored the opportunities of test automation framework for data science project. 3. Created a test monitoring script for the data science pipeline. 4. Conducted end to end testing of the Mercedes Benz Online Sales portal based on Agile (Scrum) methodology. 5. Created test cases and test data by analyzing requirements. 6. Performed defect management via HP ALM and JIRA.
Software Testing and SQL skills: 1. Experience in Software Development Life cycle (SDLC) using Waterfall, V-model and Agile methodologies. 2. Created test automation scripts using HP UFT and Selenium for front end and Mainframe validations, SOAP UI for web services testing. 3. Conducted end to end testing of Online portals for US insurance clients along with defect management using HP ALM. 4. Performed Defect Analysis for every monthly using SQL.
Ausbildung von Sweekar Revanna
- 3 Jahre und 1 Monat, Okt. 2016 - Okt. 2019
Information technology
Universität Stuttgart
Service Computing, Loose Coupling and Message based Integration, Data Warehouse, OLAP and Data Mining
- 3 Jahre und 10 Monate, Sep. 2008 - Juni 2012
Electronics and Communication Engineering
Visvesvaraya Technological University
C programming, Logic Design, Embedded System Design, Control Theory
Sprachen
Deutsch
Gut
Englisch
Fließend
Kannada
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