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Giovanni Carmantini

Data Scientist, specialized in IoT and sensor data
1 recommendation
  • Suggested rate
    €722 / day
  • Experience3-7 years
  • Response rate100%
  • Response time1 hour
The project will begin once you accept Giovanni's quote.
Location and workplace preferences
Location
Munich, Germany
Remote only
Primarily works remotely
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Skill set (19)
Check out Giovanni's expertise
Giovanni in a few words
I have designed and implemented Machine Learning code that has powered intelligent behavior in successful consumer electronic devices.

I am at home in the Python data stack (numpy, numba, pandas, scipy, scrapy, sklearn, and others), from data scraping / acquisition, to pipelining, analyzing and building of interactive visualization dashboards. I'm particularly fond of sensor data, and writing AI algorithms that can run on embedded devices.

I like to write and communicate effectively, and love to share knowledge.
Experience
  • foldAI
    Co-founder & Data Scientist
    INTERNET OF THINGS (IOT)
    February 2019 - Today (5 years and 12 months)
    Munich, Germany
    - Creation of an IoT platform for the monitoring of natural ecosystems (from IoT embedded development on devices of our own design, to back-end and front-end development of monitoring service).
    - Production line monitoring, data analysis, visualization and alerting for a company in the sound speaker space
    - On-line detection of glitches in video streams for a company in the gaming space
    - Data strategy consulting for startup company in the sport activity tracking & coaching space
    Internet of things Machine learning Back-End development Amazon Web Services Front-End development Data visualization Strategic planning Computer Vision
  • Bragi GmbH
    Data Scientist & Software Engineer
    INTERNET OF THINGS (IOT)
    November 2016 - October 2019 (2 years and 12 months)
    Munich, Germany
    - Machine Learning pipeline development and deployment for IoT devices.
    - Development of Machine Learning models along their lifetime.
    - Rapid prototyping through ROS and docker.
    - Machine Learning applied to gesture recognition.
    - Effective communication of results to a variety of audiences.
    Python Machine learning Scikit-learn time series analysis Internet of things InfluxDB Docker Data science
1 recommendation
FF

Friedrich Förstner recommend Giovanni

Friedrich FörstnerFF
Friedrich Förstner
foldAI
22/01/2021
Giovanni was a key asset for the Sensorics & Data Science team at Bragi, of which I was the head at the time, as a competent and reliable team player. Giovanni's depth of knowledge in Machine Learning and Software Engineering, as well as his empathy and communication skills make him a rare breed. I highly recommend him.
Education
  • B.Sc Psychology
    University of Bologna
    2011
  • M.Sc. Robotics
    Plymouth University
    2013
    Dissertation on object categorization via Computer Vision
  • Ph.D. Computational Neuroscience
    Plymouth University
    2016
    Symbolic computation in Neural Networks
Certifications