Pouyan Rafieifard verfügbar

Pouyan Rafieifard

Lead Consultant | Data Science | AI | NLP | Big Data Architecture | Cloud (AWS, Azure, GCP)

verfügbar
Profilbild von Pouyan Rafieifard Lead Consultant | Data Science | AI | NLP | Big Data Architecture | Cloud (AWS, Azure, GCP) aus FrankfurtamMain
  • 60320 Frankfurt am Main Freelancer in
  • Abschluss: PhD Computational Intelligence
  • Stunden-/Tagessatz:
  • Sprachkenntnisse: deutsch (verhandlungssicher) | englisch (verhandlungssicher)
  • Letztes Update: 25.11.2020
SCHLAGWORTE
PROFILBILD
Profilbild von Pouyan Rafieifard Lead Consultant | Data Science | AI | NLP | Big Data Architecture | Cloud (AWS, Azure, GCP) aus FrankfurtamMain
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SKILLS
  • Experienced freelance consultant with entrepreneurial mindset advising international clients ranging from idea-stage startups to global companies on data science, artificial intelligence, and natural language processing.
  • Highly detail-oriented data scientist leveraging domain knowledge, data analytics, effective communication, and data story-telling skills to generate actionable business insights across transportation, aviation, automotive, finance, life sciences & pharmaceutical, sales and marketing, and human resources industries.
  • Innovative creator with 8+ years of project experience in deployment of machine learning in software solutions, digital product management, and business development resulting 10+ software platforms, 10 publications, and over 5 million dollars in company revenues.
PROJEKTHISTORIE
  • 09/2020 - bis jetzt

    • Global Biotech Company
    • 5000-10.000 Mitarbeiter
    • Pharma und Medizintechnik
  • Lead Consultant - Data Strategy & Architecture

  • 10/2019 - 05/2020

    • Boehringer Ingelheim
    • >10.000 Mitarbeiter
    • Pharma und Medizintechnik
  • Senior Consultant – Data Science & NLP
  • Project: Advanced analytics dashboard for a semantic analytics use case
     
    • Built advanced text analytics models (semi-supervised learning) based on complex & imbalanced datasets achieving 96% accuracy in the semantic inference of business insights.
    • Designed and implemented an end-to-end big data analytics pipeline and deployed text analytics models in the client's existing big data infrastructure.
    • Responsibilities involved requirements engineering, business analysis, stakeholder communication, communication between the technical team and product owner, the transition of requirements into user stories.
    • Involved in managerial tasks such as big data architecture, user experience design, business analysis, and project management tasks.
    • Technologies used: Python, Java, Apache Spark, HDFS, Docker, AWS, Azure, Google Cloud, RESTful API, Apache Solr, PostgreSQL, Dexi.io, Prodigy, Spacy, Tensorflow, PyTorch, D3.JS, Highcharts, Jenkins, PyCharm , Bitbucket, Jira, Confluence.

  • 10/2019 - 10/2019

    • European Energy Company (via Sapient GmbH)
    • 500-1000 Mitarbeiter
    • Energie, Wasser und Umwelt
  • Senior Consultant - Data Science & Solution Architecture
  • Project: Design & architecture of algorithmic trading platform
    • Activities included: Business analysis, Use case definition, Business development, Solution design with machine learning

  • 07/2019 - 10/2019

    • Global automotive company (Via Sapient GmbH)
    • >10.000 Mitarbeiter
  • Senior Consultant - Data Science
  • Project: Advanced analytics dashboard for marketing mix modeling and demand forecasting
    • Developed an advanced analytics dashboard for marketing mix modeling and demand forecasting for the global automotive company: developing an end-to-end visual analytics dashboard for demand forecasting, monitoring, and prediction of key KPIs in a performance marketing campaign using time series analysis.
    • Technologies Used: Python, XGBoost, Azure, SQL, Dash, Jira, Confluence. 

  • 07/2019 - 09/2019

    • Global automotive company (Via Sapient GmbH)
    • >10.000 Mitarbeiter
    • Automobil und Fahrzeugbau
  • Senior Consultant - Visual Analytics (Tableau/PowerBI)
  • Project: Development and maintenance of marketing analytics dashboard for a global automotive company
    • Technologies used: Tableau, PowerBI, SQL

  • 03/2019 - 04/2019

    • Global airline company (Via Accenture)
    • >10.000 Mitarbeiter
    • Transport und Logistik
  • Consultant - Business Analysis
  • Project: Business analysis for big data analytics use cases across aviation industry
    • Activities included: Business analysis, Use case definition, Business development, Solution design with machine learning

  • 02/2019 - 04/2019

    • European Financial Institution (via Accenture)
    • 1000-5000 Mitarbeiter
    • Banken und Finanzdienstleistungen
  • Consultant - Data Science
  • Project: Developing a finance dashboard for the visualization of historical trends along with forecasted trends of economic KPIs
    • Technologies used: R Shiny, Machine Learning

  • 01/2019 - 04/2019

    • Global Information Technology Services Company (via Accenture)
    • >10.000 Mitarbeiter
    • Internet und Informationstechnologie
  • Consultant - Data Science
  • Project: Development of human resources analytics platform
    • 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

  • 01/2019 - 04/2019

    • Global Information Technology Services Company (via Accenture)
    • >10.000 Mitarbeiter
    • Internet und Informationstechnologie
  • Consultant - Data Science
  • Project: Development of human resources analytics platform
    • 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

  • 09/2018 - 12/2018

    • Global airline company (Via Accenture)
    • >10.000 Mitarbeiter
    • Transport und Logistik
  • Consultant - Data Science
  • Project: Merchandising intelligence for international airline company
     
    • Developing an advanced analytics dashboard for driving customer analytics (pricing analytics) for the aviation client using big data, visual analytics, and machine learning technologies.
    • Technologies used: Tableau, Python, R, Machine Learning, SQL, Hive

  • 07/2018 - 08/2018

    • European Railway Company (via Accenture)
    • >10.000 Mitarbeiter
    • Transport und Logistik
  • Consultant - Business Analysis & Data Science
  • Project: Business analysis for analytics use cases across the transportation industry
    • Activities included: Business analysis, use case definition, business development, solution design with machine learning

     


  • 06/2018 - 07/2018

    • Global Pharmaceutical company (via Accenture)
    • >10.000 Mitarbeiter
    • Pharma und Medizintechnik
  • Consultant - Data Architecture
  • Project: Big data architecture planning for a global pharmaceutical company
    • Activities include strategic planning, big data architecture, project management.

  • 02/2015 - 04/2018

    • TU Dresden
    • 1000-5000 Mitarbeiter
    • Öffentlicher Dienst
  • Machine Learning Scientist
  • Project: Predictive modeling of consumer behavior:
    • Conducting two large-scale research studies concerned with predictive modeling of human decision making (consumer behavior) based on tracking the visual input.
    • Activities involve machine learning algorithm development, exploratory data analysis, statistical modeling, data visualization, big data acquisition, and data preparation.
    • Technologies used: Python, Scikit-learn, Matplotlib, seaborn, eye tracking, self-developed advanced machine learning algorithms, approximate inference, MATLAB.
    • Resulted in 3 academic publications in renowned academic journals and conferences.
    • Managed a team of 5 scientific staff for the acquisition of big data (~ 100,000 entries)
    • from more than 120 participants in consumer behavior study.
    • Strong presentation skills with expertise in training over 150 university students for programming, statistical thinking, data-driven approach.

  • 11/2016 - 05/2017

    • Why Apply
    • < 10 Mitarbeiter
    • Internet und Informationstechnologie
  • Data Scientist & NLP Engineer
  • Project: Advanced analytics for an innovative recruitment platform
    • Assisting the company to generate actionable insights for clients as well as developing an advanced analytics dashboard for extraction, integration, and visualization of data from internal and external sources.
    • Used natural language processing and web analytics.
    • Technologies used: Python, NLTK, pyQT, Google Analytics, Google Cloud Platform.

  • 07/2016 - 09/2016

    • The SaaS Co.
    • 10-50 Mitarbeiter
    • Internet und Informationstechnologie
  • Data Engineer
  • Project: Automated data pipelines for data-driven B2B sales and lead generation
    • Developed an integrated data pipe-line for extracting, integrating, cleaning, and aggregating, and visualizing insights from a big data-set of 270 million entries
      Technologies used: Python, Postgresql, IBM-Watson Cloud, Regex, NLP 

  • 11/2012 - 11/2014

    • University-clinic Tuebingen
    • 1000-5000 Mitarbeiter
    • Pharma und Medizintechnik
  • Virtual Reality Technology Specialist & Data Analyst
  • Project: Virtual reality software for movement rehabilitation
    • Virtual reality software for movement rehabilitation: developed a virtual reality software providing real-time feedback to users for specific hand movement exercises 
      using computer animation, machine learning, motion capture technologieslike: C ++, Ogre3D, Libsvm, MATLAB, data glove.
    • Data analysis and data acquisition for robotics and virtual reality projects: conductingdata acquisition and data preparation for large scale EU projects concerning 
      robotics using virtual reality and motion capture technologies like: Adobe Motion builder, Vicon Nexus, Ogre3D.
    • Software framework for real-time analysis of human physiological data: developing a software framework for real-time tracking and visualization of human physiological data using ECG. Technologies used: C ++, MATLAB, ECG, signal processing.
    • Automated data pipeline for tracking and visualization of hand movements: virtual reality framework applied in movement rehabilitation. Technologies used: C ++, Ogre3d, TCP / IP.

  • 03/2013 - 11/2013

    • MPI Intelligent Systems
    • >10.000 Mitarbeiter
    • Internet und Informationstechnologie
  • Machine Learning Engineer
  • Project: Developing software frameworks in machine learning and human-computer interaction in 2 research projects
    • Technologies used: Python, Matlab, machine learning, optimization methods, control theory, neural networks

  • 03/2012 - 12/2012

    • Sooren systems Ltd.
    • < 10 Mitarbeiter
    • Internet und Informationstechnologie
  • Consultant - Business Development
    • Driving business development activities like preparing RfP responses, closing international partnerships, client and partner negotiation, and content marketing.
    • Closed 3 large-scale clients through RfP response process for developing enterprise portals

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

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