Gokul Nambiar
Skills
Timeline
Professional experience for Gokul Nambiar
- Current 3 years and 5 months, since Jun 2023
Data Scientist - Working Student
Daimler Buses GmbH
• Worked within the R&D team, handling time series data obtained from the onboard sensors of electric city buses • Developed data products and maintained ETL pipelines using PySpark in Databricks, leveraging Azure Data Lake for storage, enhancing data availability for R&D and aftersales use cases • Delivered comprehensive data insights on customer usage behavior and component usage in the buses, to stakeholders through interactive dashboards and visual reports, built using PowerBI
- 3 years and 4 months, Jul 2018 - Oct 2021
Software Developer
Ingram Micro SSC
• Worked with the Global Security Administration team on process automation projects • Developed a custom web application using Flask along with SQL Server, that helped achieve end to end automation of the user onboarding workflow in the organization, resulting in significant reduction in processing time for new recruits to one day, down from three • Performed regular maintenance of the application and rolled out functional updates, reducing downtime to under one hour a month
Educational background for Gokul Nambiar
- Current 4 years and 8 months, since Mar 2022
Artificial Intelligence and Data Science
University of South Bohemia in České Budějovice
Focus Areas: Advanced Machine Learning, Big Data and Natural Language Processing, Computer Vision, Information Theory, Advanced Data Storage and Analyses, Mathematics for AI and Data Science, Computational Intelligence
- Current 4 years and 8 months, since Mar 2022
Artificial Intelligence and Data Science
Technische Hochschule Deggendorf
Focus Areas: Advanced Machine Learning, Big Data and Natural Language Processing, Computer Vision, Information Theory, Advanced Data Storage and Analyses, Mathematics for AI and Data Science, Computational Intelligence
- 4 years, Aug 2014 - Jul 2018
Computer Science and Engineering
Sathyabama Institute of Science and Technology
Focus Areas: Artificial Intelligence, Database System, Cloud Computing, Software Engineering, Engineering Mathematics
Languages
English
C1 (Fluent)
German
A1-A2 (Basic)
Tamil
C1 (Fluent)
Malayalam
C1 (Fluent)
Hindi
C1 (Fluent)
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