Daniel (glenbreaks)D(
Looking for a job

Daniel (glenbreaks)

@danebensberger

I am a programmer/data engineer with a physics background. Leveraging data science and algorithms.

Germany
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What I'm looking for

I am in search of a new opportunity to foster technical innovations alongside a team that shares my drive and curiosity. For me, communication is pivotal, and I deeply value a workspace that champions transparency and fosters collective productivity.

• Implemented a nonlinear monotone classification model by combining the Choquet Integral, a concept from decision theory, with logistic regression to model interactions between variables.

• Managed and developed scalable pipeline solutions for multi-channel performance data analysis and visualization.

• Designed ML-based clustering and time-series forecasting pipelines, considering seasonalities through high-performance optimization algorithms.

• Strategically developed a dedicated product catalog for MarTech-specific products and scalable dashboard pricing solutions.

• Conducted strategic data analysis for pitch preparation and supported internal innovation through AI-based content generation and prompt engineering guide creation.

• Implemented automation mechanisms for processing, visualizing, and interpreting large data sets using MS SQL Server, MS Azure Data Factory, Snowflake Data Lakes, and Python.

• Supported technical research and strategic initiatives in the field of future-oriented semiconductor technology, including PowerPoint presentation generation.

Experience

NA
Current

Data Engineer

Nayoki

Dec 2022 - Present (1 year 5 months)

• Managed and developed scalable pipeline solutions for multi- channel performance data analysis and visualization.
• Designed ML-based clustering and time-series forecasting pipelines, considering seasonalities through high-performance optimi-zation algorithms.
• Strategically developed a dedicated product catalog for MarTech-specific products and scalable dashboard pricing solutions.

AO

BI & Corporate Development

ams OSRAM

Nov 2018 - Sep 2022 (3 years 10 months)

• Implemented automation mechanisms for processing, visualizing, and interpreting large data sets using MS SQL Server, MS Azure Data Factory, Snowflake Data Lakes, and Python.
• Supported technical research and strategic initiatives in the field of future-oriented semiconductor technology, including PowerPoint presentation generation.

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