Abonia Sojasingarayar
Machine Learning Engineer & Data Scientist
1 project
  • Suggested rate
    $740 / day
  • Daily rate details

    Freelancer rate (excluding tax)
    Malt service fees (excluding tax)
    Total (excluding tax)
    This rate is for suggestive purposes only. The freelancer will send you a tailored quote based on the details provided in your project proposal.
  • Experience3-7 years
  • Response rate100%
  • Response timeA few days
The project will begin once you accept Abonia's quote.
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Location and workplace preferences
Paris, France
Can work onsite in your office in
  • Paris and around (up to 50km)

Project length

  • ≤ 1 week
  • ≤ 1 month
  • Between 1-3 months
  • Between 3-6 months
  • ≥ 6 months

Company size

  • 1 person
  • 2-10 people
  • 11 - 49 people
  • 50 - 249 people
  • 250 - 999 people
+2 other

1000 - 4999 people, ≥ 5000 people


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Expertise (50)
Abonia in a few words
Data scientist depuis 3 ans , geek et entrepreneur,j'ai réaliser de nombreuse project machine learning and deep learning et j'ai déja travaillé pour des grand groupe(IBm,Neocase software,ADMS Groupe etc...,).Je suis un expert dans les domaines ML tels que l'analyse prédictive, traitement du langage naturel et je souhaite améliorer les affaires grâce aux données et à l'innovation.

✨Experienced in ML domains such as predictive analysis,computer vision,NLP.Good in solving modern problems using AI and deep learning using familier frameworks in python such as tensorflow,scikit,Keras etc and open source toolkits such as openCV,NLTK(For more info dont hesitate to visit project section). Also,experienced Software Engineer and Information Technology technician with a demonstrated history of working in the management consulting,commercial industry,cyber security and information technology sectors. Skilled in Web Marketing Strategies,Front and back end developement tools and languages.

🚀 Skills & Expertise
✔ Execute analytical experiments to help solve various problems, making a true impact across various domains and industries.
✔ Identify relevant data sources and sets to mine for client business needs and collect large structured/unstructured datasets and variables.
✔ Devise and utilise algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy.
✔ Analyse data for trends and patterns and interpret data with a clear objective in mind.
✔ Implement analytical models into production by collaborating with software developers
✔ Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems.
✔ Team player who understand well business problems in order to solve it with modern technologies.

📍Find me on :
✍️Medium : ⏩Github :

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  • Google

    Menlo Park, CA, USA

    September 1998 - Today   25 years
    If I had to sum up my life up to this point, I'd say it's been one heck of a ride...

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