Daniel Strandberg
About Daniel Strandberg
Daniel Strandberg is a Principal Data Engineer at Telavox, with a background in engineering physics and a strong interest in leadership, mathematical statistics, and big data. He actively participates in data analysis projects for social good and aspires to become a leader in the field of Big Data and applied machine learning.
Work at Telavox
Daniel Strandberg currently serves as Principal Data Engineer at Telavox, a position he has held since 2022 in Malmö, Skåne, Sverige. Prior to this role, he worked at Telavox as a Business/Data Analyst from 2018 to 2022, contributing to various data-driven projects. His earlier experience at Telavox includes a part-time role as a Business Analyst for five months in 2018. His tenure at Telavox demonstrates a consistent focus on leveraging data to enhance business operations.
Education and Expertise
Daniel Strandberg earned a Master of Engineering (M.Eng.) in Engineering Physics with a focus on Financial Modeling from Lunds tekniska högskola, studying from 2012 to 2018. His educational background is complemented by his experience as a Teaching Assistant in Mathematics at The Faculty of Engineering at Lund University from 2014 to 2018. This combination of education and teaching experience underlines his strong foundation in mathematical statistics and data analysis.
Background
Daniel's professional journey includes diverse roles that reflect his commitment to education and data. He worked as an In-service Teacher at Studentvikarie Sverige AB from 2015 to 2017 in Lund, Sverige. Additionally, he gained experience in the paper industry as an Industrial Worker at Stora Enso from 2011 to 2017 in Bromölla. His varied background contributes to his comprehensive understanding of both technical and practical aspects of data engineering.
Achievements in Data Analysis
Daniel actively engages with platforms like Kaggle, participating in non-profit data analysis projects. This involvement highlights his commitment to using data for social good and reflects his belief in the potential of data to create a better world for the less fortunate. His aspirations to become a world leader in Big Data and applied machine learning further demonstrate his ambition and forward-thinking approach in the field.
Interests and Inspirations
Daniel Strandberg has a strong interest in leadership, mathematical statistics, and big data, which aligns with his current role as a Principal Data Engineer. He draws inspiration from Siraj Rival, a notable figure in data science and machine learning, known for motivating individuals in the field. This inspiration fuels his passion for data and its applications in creating impactful solutions.