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Pouyan Rafieifard

Data science and AI consultant

Can work in or around Frankfurt am Main, Berlin, München, Hamburg, Frankfurt am Main, Stuttgart

  • 50.1106
  • 8.68209
  • Suggested rate £783 / day
  • Experience 7+ years
  • Response rate 100%
  • Response time 1 hour
Propose a project The project will begin once you accept Pouyan's quote.

This freelancer has confirmed full-time availability in the past 7 days.

Propose a project The project will begin once you accept Pouyan's quote.

Location and workplace preferences

Location
Frankfurt am Main, Deutschland
Can work onsite in your office in
  • around Frankfurt am Main and 50km
  • Around Berlin and 100km
  • Around München and 100km
  • Around Hamburg and 100km
  • Around Frankfurt am Main and 100km
  • Around Stuttgart and 100km

Preferences

Project length
  • Between 3-6 months
  • ≥ 6 months

Verifications

Freelancer code of conduct signed
Read the Malt code of conduct

Verified email

Languages

  • German

    Fluent

  • English

    Native or bilingual

Categories

Skills (25)

Pouyan in a few words

- Lead consultant in big data, AI, and cloud computing with an entrepreneurial mindset advising global corporations on data science, big data engineering, and solution architecture.

- Innovative data expert with 10+ years of project experience in architecture, implementation, and deployment of big data & analytics solutions in business environments resulting 10+ software platforms, 10 publications, and over 5 million dollars in company revenues.

- Highly detail-oriented data & AI solution architect leveraging domain knowledge, data analytics, effective communication, and data story-telling skills to generate actionable business insights across energy, aviation, automotive, life sciences & pharmaceutical, sales and marketing, and human resources industries.

Portfolio

Experience

Global Pharmaceutical & Biotech Company

Biotech

Lead MLOps Engineer  - As a freelancer

Frankfurt, HE, Germany

November 2021 - June 2022 (7 months)

- Management of a team of data scientists, data engineers, and DevOps engineers
for development of enterprise MLOps framework
- End-to-end Deployment of ML models in production environment using a selfdeveloped MLOps framework
- Design & architecture of a cloud-based MLOps framework optimizing for automation of machine learning workflows, integration with enterprise data lakes,
user-friendliness, and security
- Technologies used: AWS Sagemaker, AWS Lambda, AWS Eventbridge, Python,
Machine Learning, Apache Airflow, MLFlow

Global Chemical Company

Chemical

Senior Data Engineer  - As a freelancer

Frankfurt am Main, HE, Deutschland

July 2021 - December 2021 (5 months)

- Development of big data pipelines on top of AWS infrastructure for high-dimensional data
- Technologies used: Python, Unit testing, Docker, Xarray, Dask, Bitbucket, CI/CD,
AWS (EC2, S3, Parameter Store)

Global Transportation & Mobility Company

Transportation

Lead Data Scientist & Cloud Data Architect  - As a freelancer

Frankfurt am Main, HE, Deutschland

May 2021 - November 2021 (6 months)

- Design & architecture of data warehousing solutions in Azure Synapse
- Development & deployment of dynamic pricing solution in Azure cloud infrastructure
- Conducting data migration from on premise to Azure Synapse environment
- Technologies used: Azure Synapse, Snowflake, Azure Data Factory, Azure Blob,
Azure Kubernetes Service, Azure Data Lake Storage, AzCopy, Python, Pyspark,
Tableau, K-means Clustering, MLOps, CI/CD

Global Energy Company

Energy & Utilities

Lead Data Scientist & Data Engineer  - As a freelancer

Frankfurt am Main, HE, Deutschland

April 2021 - March 2022 (11 months)

- Development of machine learning-based predictive maintenance use case based
on IoT data on AWS cloud infrastructure
- Development & deployment of a streaming ETL pipeline for IoT sensor data used
for data visualization and machine learning based on AWS infrastructure
- Conducting visual analytics activities on big data from maintenance & sales capabilities using Power BI, Plotly and Python
- Definition of reference cloud architecture for predictive analytics use cases in
AWS
- Technologies used: AWS Sagemaker, AWS Lambda, AWS Glue, AWS DynamoDB,
AWS Athena, AWS S3, AWS RDS. AWS Cloud9, Python, Machine Learning,
XGBoost, Plotly, Power BI, MLOps, MySQL, CI/CD

Global Biotech Company,

Biotech

Lead Data Strategy & Architecture Consultant  - As a freelancer

Frankfurt am Main, HE, Deutschland

September 2020 - December 2020 (3 months)

- Leading the data strategy & architecture initiative to conduct health check and
identifying the functional and process gaps in the client’s big data infrastructure.
- Requirement engineering and conducting stakeholder interviews multiple interviews and workshops with 25+ stakeholders across the organization.
- Conducting gap analysis and defining the long-term big data strategy roadmap.
- Definition and prioritization of actionable recommendations for the client’s digital transformation strategy including predictive analytics use cases.

HR-tech Startup

Digital & IT

Product Manager, Lead Data Scientist & NLP Engineer  - As a freelancer

Frankfurt am Main, HE, Deutschland

June 2020 - April 2021 (10 months)

- Development of MVP of a HR-tech solution for automated sourcing & screening
of talents using NLP based on unstructured data.
- Technologies used: Python, Scala, SpaCy, NLTK, MongoDB, MariaDB, D3.JS, Javascript, MapReduce, Spark, Azure, Databricks, Snowflake, MLOps, CI/CD

Global Pharmaceutical Company

Pharmaceuticals industry

Senior Data Scientist & NLP Engineer  - As a freelancer

Frankfurt am Main, HE, Deutschland

October 2019 - May 2020 (7 months)

- Managed a team of 5+ data scientists, data engineers, NLP practitioners, and annotators.
- Architecture & implementation of big data analytics pipeline deploying natural
language processing models and integrating cloud analytics pipelines (including
AWS) with existing big data infrastructure of the client
- Involved in solution & big data architecture, product management, user experience desig, business analysis, and project management tasks.
- Developing an end-to-end visual analytics dashboard for semantic analytics use
case.
- Technologies used: Python, Java, Scala, Apache Spark, HDFS, Kafka, Docker, AWS,
Azure, Google Cloud, RESTful API, Apache Solr, PosgreSQL, Dexi.io, Prodigy,
Spacy, Tensorflow, pyTorch, D3.JS, Highcharts, Jenkins, PyCharm, Bitbucket, Jira,
Confluence.

Publicis Sapient - Publicis

Digital & IT

Senior Data Scientist

Frankfurt-Flughafen, HE, Deutschland

July 2019 - October 2019 (3 months)

- Advanced analytics dashboard for marketing mix modeling and demand forecasting for 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 (Data Lake Storage, Azure Data Factory, SQL DB,
App Service), Plotly/Dash, Jira, Confluence
- Development and maintenance of marketing analytics dashboard for global
automotive company using Tableau and PowerBI.
-Business development: designing of algorithmic trading platform for European
energy company, Analysis of industry trends and AI & analytics use cases in cloud
computing

Accenture

Digital & IT

Applied Intelligence Consultant

Kronberg im Taunus, Deutschland

May 2018 - April 2019 (11 months)

- Merchandising intelligence for international airline company: driving cus-tomer analytics (pricing analytics) for the aviation client using big data, visual analytics and machine learning technologies: Python, R, Tableau, Machine Learning, SQL, Hive.
- Human resources analytics for global information technology services com-pany: developing a framework for tracking user behavior and digital analytics for a HR talent search engine using technologies: Azure, Kubernetes, Python, ETL, SQL, Restful API, Flask, Machine Learning
- 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.
- RfP response preparation for European railway company: business develop activity leading to the winning bid involving: use case definition, algorithm design using machine learning and advanced analytics, research, project plan-ning.
- Big data architecture planning for global life sciences company: strategic planning, big data architecture, project management.
- Business analysis for global aviation company: use case identification, re-search, business requirements analysis, aviation industry analysis.
- Industry analysis for the assessment of the digital transformation maturity of Swiss companies using technologies machine learning and visual analytics technologies like: Python, R, Tableau.

Why Apply

Human Resources

Data Scientist & NLP Engineer  - As a freelancer

Leipzig, Deutschland

January 2016 - May 2017 (1 year and 4 months)

- Advanced analytics for innovative recruitment platform: assisting the compa-ny 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 ana-lytics. Technologies used: Python, NLTK, pyQT, Google Analytics, Google Cloud Platform.

The SaaS Co.

Digital & IT

Data Engineer

Berlin, Deutschland

January 2016 - September 2017 (1 year and 8 months)

- Automated ETL pipelines for data-driven B2B sales and lead-generation: built an integrated data pipe-line for extracting, integrating, cleaning, and aggregat-ing, and visualizing insights from a big data-set of 270 million entries. Technol-ogies used: Python, PostgreSQL, NLTK, regex, matplotlib.

TU Dresden

Research

PhD Researcher

Dresden, Deutschland

January 2015 - April 2018 (3 years and 3 months)

- Predictive modeling of consumer behavior: conducting two large-scale re-search studies concerned with predictive modeling of human decision making (consumer behavior) based on tracking the visual input. Activities involve: ma-chine learning algorithm development, exploratory data analysis, statistical modeling, data visualization, big data acquisition and data preparation. Tech-nologies 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 con-ferences.
- Managed a team of 5 scientific staff for acquisition of big data (~100,000 en-tries) from more than 120 participants in consumer behavior study.
- Strong presentation skills with expertise in training over 150 university stu-dents for programming, statistical thinking, data-driven approach.

University-klinikum Tübingen

Medical

VR Technology Specialist & Data Analyst

Reutlingen, Deutschland

January 2012 - November 2014 (2 years and 10 months)

- Virtual reality software for movement rehabilitation: developed a virtual real-ity software providing real-time feedback to users for specific hand movement exercises using computer animation, machine learning, motion capture tech-nologies like: C++, Ogre3D, Libsvm, MATLAB, data glove.
- Data analysis and data acquisition for robotics and virtual reality projects: conducting data 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: de-veloping a software framework for real-time tracking and visualization of hu-man physiological data using ECG. Technologies used: C++, MATLAB, ECG, sig-nal processing.
- Automated data pipeline for tracking and visualization of hand movements: virtual reality framework applied in movement rehabilitation. Technologies used: C++, Ogre3d, TCP/IP.

Education