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Romain Strock Data Science & Machine Learning SpecialistRS

Romain Strock

Data Science & Machine Learning Specialist
  • Suggested rate
    £650 / day
  • Experience8-15 years
  • Response rate100%
  • Response time1 hour
The project will begin once you accept Romain's quote.
Location and workplace preferences
Location
London, United Kingdom
Can work on-site at your office in
  • and around London (up to 50km)
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39Followers
28Repos
3Gists
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Skill set
Industry fields of expertise
Romain in a few words
My expertise combines software engineering, advanced machine learning and specialized knowledge in biology with over a decade of experience.

I started my career in software engineering, working with fast-paced London startups before transitioning into data science, where I have successfully operated as an independent contractor for more than eight years.

Four years ago, I broadened my expertise by embarking on a part-time PhD in Computational Biology at Imperial College London, while successfully supporting myself with data science contracts.
Experience
  • SSE plc
    Machine Learning Specialist
    August 2018 - Today (6 years and 10 months)
    London, UK
    I am part of the Data & Analytics team, providing machine learning & data science capabilities to business units at SSE, a FTSE 100 energy company. Tech: Python stack, Deep Learning (TensorFlow, PyTorch), state of the art Machine Learning. Some of my projects include: predicting network faults, forecasting electricity consumption, optimizing demand load, processing large scale geospatial data.
  • Thomas Cook
    Data Scientist
    January 2018 - June 2018 (5 months)
    London, UK
    Design and development of a dynamic travel pricing algorithm. Tech: Python data science stack on Azure.
  • Citymapper
    Data Scientist
    December 2016 - December 2017 (1 year)
    London, UK
    Making cities usable by building products and services to help people get around. Tech: Python, data science stack, backend engineering stack on AWS, geospatial processing, scheduling algorithms, routing.
Recommendations
Education
  • PhD Computational Biology
    Imperial College
    2025
    Bioinformatics & ML applied to microbiology. Focus on proteins and metabolites mediating conflicts between microbes, i.e. searching for new antibiotics.
  • Msc Machine Learning & Big Data Analytics
    UCL
    2014
    Course: Machine Learning, Data Mining, Advanced Statistics, Distributed Systems.
  • MEng Information Technology
    IMT Atlantique
    2013
    Top French engineering school specialised in IT and Telecommunication – Course: Statistics, Signal Processing, Computer Science.
Certifications