Pouyan Rafieifard verfügbar

Pouyan Rafieifard

Senior Consultant | Data Science | AI| NLP | Full-stack Development

verfügbar
Profilbild von Pouyan Rafieifard Senior Consultant | Data Science | AI| NLP | Full-stack Development aus FrankfurtamMain
  • 60320 Frankfurt am Main Freelancer in
  • Abschluss: PhD Computational Intelligence
  • Stunden-/Tagessatz:
  • Sprachkenntnisse: deutsch (verhandlungssicher) | englisch (verhandlungssicher)
  • Letztes Update: 19.04.2020
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PROFILBILD
Profilbild von Pouyan Rafieifard Senior Consultant | Data Science | AI| NLP | Full-stack Development aus FrankfurtamMain
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SKILLS
  • Experienced business consultant with entrepreneurial mindset advising international clients ranging from idea-stage startups to global companies on data science, big data analytics, and artificial intelligence.
  • Highly detail-oriented data scientist leveraging domain knowledge, data analytics, effective communication, and data story-telling skills to generate actionable business insights across sales and marketing, aviation, life sciences, and human resources industries.
  • Innovative creator with 8+ years of project experience in data science, natural language processin, artificial intelligence resulting in over 5 million dollars in company revenues, 10 publications and 10+ software frameworks.
PROJEKTHISTORIE
  • 10/2019 - bis jetzt

    • Boehringer Ingelheim
    • >10.000 Mitarbeiter
    • Pharma und Medizintechnik
  • Senior Consultant – Data Science & NLP
    • Responsibilities involved requirements engineering, stakeholder communication, communication between technical & scrum team and product owner, and translation of requirements into user stories.
    •  Involved in management of a technical Scrum team of 5+ data scientists, data engineers, NLP practitioners, and annotators.
    • Involved in product management, solution architecture, user experience design, business analysis, and project management tasks.
    •  Design & development of an end-to-end big data analytics solution for a semantic analytics dashboard use case.
    • Designed and implemented a full data and analytics pipeline deploying natural language processing models in on existing big data infrastructure of the client.
    • Technologies used: Python, Java, Apache Spark, HDFS, Docker, AWS, Azure, Google  Cloud, RESTful API, Apache Solr,,PosgreSQL, Dexi.io, Prodigy, Spacy, Tensorflow, pyTorch, D3.JS, Highcharts, DevOps, CI/CD, Jenkins, PyCharm, Bitbucket, Jira, Confluence. 

  • 02/2018 - 04/2020

    • European Financial Institution
    • 1000-5000 Mitarbeiter
    • Banken und Finanzdienstleistungen
  • Consultant - Data Science
  • Financial analytics for European financial institution: developing a finance dashboard for the visualization of historical trends along with forecasted trends of economic KPIs: R Shiny, Machine Learning.

  • 07/2019 - 10/2019

    • Global automotive company (Via Sapient GmbH)
    • >10.000 Mitarbeiter
    • Automobil und Fahrzeugbau
  • Senior Consultant - Data Science
    • Marketing mix modeling and demand forecasting for global automotive company: developing an end-to-end demand forecasting dashboard for monitoring and prediction of key KPIs in a performance marketing campaign
    • Technologies Used: Python, XGBoost, Azure, SQL, Dash, Jira, Confluence. 

  • 01/2019 - 04/2019

    • Global Information Technology Services Company (via Accenture)
    • >10.000 Mitarbeiter
    • Internet und Informationstechnologie
  • Consultant - Data Science
  • Human resources analytics for global information technology services company: Developing analytics-driven capabilities for ranking of candidates in talent search engine based on natural language processing. Technologies used: Azure, Kubernetes, Python, ETL, SQL, Restful API, Flask, Machine Learning, Elasticsearch.

  • 09/2018 - 12/2018

    • Global airline company
    • >10.000 Mitarbeiter
    • Sonstiges
  • Consultant - Data Science
    •  Merchandising intelligence for international airline company: designing & implementation of  big data analytics pipeline for customer analytics (pricing analytics) dashboard delivered to an aviation client using big data, visual analytics and machine learning.
    • Technologies used: Python, R, Tableau, Machine Learning, SQL, Hive. 

  • 06/2018 - 07/2018

    • Global Pharmaceutical company
    • >10.000 Mitarbeiter
    • Pharma und Medizintechnik
  • Consultant - Data Science & Big Data Architecture
  • Big data architecture planning for global pharmaceutical company: strategic planning, big data architecture, project management, Elasticsearch.

ZEITLICHE UND RÄUMLICHE VERFÜGBARKEIT
40%-60% mobility (negotiable)
KONTAKTANFRAGE VERSENDEN

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