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$95 USD / hour
Flag of GERMANY
vagen, germany
$95 USD / hour
It's currently 9:20 AM here
Joined October 15, 2017
0 Recommendations

Marc H.

@marchager89

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$95 USD / hour
Flag of GERMANY
vagen, germany
$95 USD / hour
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Timeseries Expert

I am Marc, a seasoned engineer specializing in time series data analysis and web development, with over 8 years of experience. My expertise lies in Python (FastAPI, Spark, Pandas) and TypeScript (NestJS, Vue.js, Plotly, ApexCharts), enabling me to craft innovative solutions for managing and visualizing complex data sets. With a strong foundation in energy technology engineering and a knack for creative problem-solving, I deliver efficient and effective web applications and machine learning solutions. My work has significantly contributed to the success of startups, showcasing my ability to understand and address technical challenges creatively. Passionate about hands-on work and mechanical systems, I bring a unique perspective to every project. Committed to speed, efficiency, and continuous learning, I excel in collaborative environments, driving improvement and seeking new challenges to overcome. If you're seeking a dynamic professional who merges technical expertise with out-of-the-box thinking, I'm ready to elevate your project to new heights.

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Experience

CTO

Naotilus GmbH
Jun 2022 - Present
Developing a time series management software for IoT and metering devices

Web Developer

Squared pGmbH
Nov 2021 - Jan 2022 (2 months, 2 days)
Developing a custom CRM with Vue, Nest and GraphQL, Docker, PostgreSQL

Scientist

University of Applied Sciences Rosenheim
Sep 2017 - Dec 2021 (4 years, 3 months)
I was engaged in the "Nemo" research project, dedicated to developing advanced algorithms for predictive maintenance specifically tailored for the district heating sector. In this capacity, our team skillfully managed to collect, store, and analyze trillions of data points in time series format. This comprehensive data collection has been pivotal in refining our approaches to predictive maintenance, substantially enhancing the efficiency and reliability of district heating systems.

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