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Pratik SwainPS

Pratik Swain

Data scientist

700 €/jour
Amsterdam, NL
3-7 ans

Délai de réponse moyen : 1h

À propos de Pratik

Enthusiastic Data scientist having working experience in Automotive, Real estate and Transportation domain. Worked in Computer Vision and Deep learning with a cloud computing background, always in a lookout to work on new technologies and exciting projects. Shoot out if you want to know more :)
  • Anglais

    Bilingue ou natif

  • Néerlandais

    Capacité professionnelle limitée

Accepte de travailler sur site
Amsterdam (jusqu’à 50 km), Rotterdam (jusqu’à 50 km), Utrecht (jusqu’à 10 km)

Expériences

  • ING
    Data Scientist
    mai 2022 - Aujourd'hui (4 ans et 1 mois)
    Amsterdam, Netherlands
  • LeasePlan
    AI Engineer
    novembre 2019 - avril 2022 (2 ans et 5 mois)
    Amsterdam, Netherlands
    #RMT division AI engineer:- Handling all the RMT projects and team to build RMT models and put them in production. #LeasePlan AI innovation team member to identify AI projects across LeasePlan and make a plan to convert them into full pledged projects . #Driving the AI Operations in LeasePlan :- Building a process to handle all post production ML problems which include Model monitoring , Performance tracking , Data drift tracking , PowerBI dashboards for post-production monitoring , MLOps. #Part of the team of 2 responsible for procuring the new AI platform for LeasePlan. Evaluation, Testing, and implementing the platform along with data engineers.
  • Altum AI
    Data Scientist
    août 2018 - octobre 2019 (1 an et 2 mois)
    Rotterdam, Netherlands
    Altum.ai projects :- #AVM(Automated Valuation Model) :- Developing a Regression model to accurately predict the house price. The Project includes my end to end task of data collection, data processing, creation of dataset for Machine learning, Training the model, Dockerezing the package and then deploying the model in cloud to create endpoint. #Ecovalue :- The project goal was to create a Regression model with monotonic constraint to see what impact the house price has upon changing the sustainable measures of the house. The Project includes my end to end task of data collection, data processing, creation of dataset for Machine learning, Training the model, Dockerezing the package and then deploying the model in cloud to create endpoint. Demo:-https://altum.ai/verduurzaming-data/ # Building CI/CD pipeline for the Machine learning models using elasticsearch, docker,Serverless and Bitbucket. Regression using Machine Learning Techniques Like Xgboost, Randomforest, GBoosting. Working experience with clustering algorithm like K-means and hierarchal clustering algorithm.

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Formations

  • Master's degree, Applied Data Science
    Data ScienceTech Institute
    2017
    Master's degree, Applied Data Science
  • National Institue of Science & Technology, Electronics and Instrumentation Engineering
    National Institute of Science and Technology (NIST), Berhampur
    2015
    National Institue of Science & Technology, Electronics and Instrumentation Engineering

Compétences (7)

Catégories