Vrushali Sangle
Data Scientist @Infineon Technologies
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WORK HISTORY
Data Scientist @Infineon Technologies
EDUCATION
Ramnarain Ruia College - Mumbai
Science
Technische Universität Dresden
Master's degree, Computer Science
University of Mumbai
Bachelor of Engineering - BE, Electronics And Telecommunication Engineering
Technische Universität Dresden
Master's degree, Computational Modeling and Simulation (Track: Visual Computing)
ABOUT VRUSHALI SANGLE
I am a highly motivated individual with a passion for exploring data and transforming it into meaningful insights. I am currently a Master\'s student at the Technical University of Dresden, studying Computational Modeling and Simulation with a specialization in Visual Computing. My academic coursework has provided me with a solid foundation in key areas such as machine learning, artificial intelligence, data science, data analytics, high-performance computing. These courses have equipped me with the knowledge and skills necessary to tackle real-world challenges using data-driven approaches. Currently, I am gaining valuable experience in the field of data processing for Large Language Models (LLMs) as a part of my work at Fraunhofer IAIS. Additionally, my experience as a data analyst at Infineon Technologies has provided me with practical expertise in leveraging tools like Tableau to create interactive dashboards and reports, uncovering valuable patterns and trends. I am proficient in querying databases using SQL, ensuring data integrity, and extracting relevant information for analysis. Furthermore, my background as a software engineer with over two years of experience in the reinsurance domain has equipped me with a strong understanding of the Software Development Life Cycle, testing methodologies, and agile practices. I have successfully developed automated test frameworks for web applications and online forms, collaborated with stakeholders to understand requirements, and reported defects using tools like JIRA and VSTS. My ability to coordinate with development teams and ensure defect resolution has contributed to successful project outcomes. Please feel free to connect with me to explore potential collaborations or discuss exciting opportunities in the field of data science or machine learning.
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