Profilbild von Pouyan RFard Lead Consultant | AI, KI, Machine Learning | Generative AI, NLP, LLM | AI & Data Strategy | MLOps aus FrankfurtamMain

Pouyan R. Fard

nicht verfügbar bis 22.04.2024

Letztes Update: 28.02.2024

Lead Consultant | AI, KI, Machine Learning | Generative AI, NLP, LLM | AI & Data Strategy | MLOps

Abschluss: PhD Computational Intelligence (expected 2024)
Stunden-/Tagessatz: anzeigen
Sprachkenntnisse: deutsch (verhandlungssicher) | englisch (verhandlungssicher)

Dateianlagen

Resume-Pouyan-R_160224.pdf

Skills


PROFESSIONAL SUMMARY:
  • 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.


SOFTWARE SKILLS: 

Programming:
Python, Java, Scala, R, C++, C#, Matlab.
LLMs / Natural Language Processing: GPT3.5, ChatGPT, Bard, Gemini Pro, Llama2, Bert, Macaw, GCP Generative AI Studio, Vertex AI, Azure AI Studio, AWS Comprehend, Huggingface, Langchain, Langserve, Langsmith, Tavilysearch, SpaCy, NLTK, SparkNLP, Gensim, CoreNLP, Textblob, Regex, Word2vec
Machine Learning: AWS Sagemaker, Azure ML Studio, Vertex AI, SKlearn, Tensorflow, Keras, Weka, Spark ML, pyTorch, DL4J, XGBoost, CNN, LSTM, HDBScan
Big Data: Spark, Hadoop, Denodo, Kafka, Hive, Hue, Impala, Solr, Sqoop, Drill, Presto, Dask
Database: MySQL, PosgreSQL, T-SQL, MariaDB, Solr, MongoDB, Cassandra, Hbase
Cloud:
  • AWS (IAM, CLI, S3, RDS, DynamoDB, Glue, Athena, Lambda,  EMR, Sagemaker, Comprehend, Quicksight, Parameter Store, Cloud Formation, CloudWatch, EventBridge)
  • Azure (CLI, Azure DevOps, Data Lake/Blob Storage, Data Factory, Databricks, Polybase, Synapse Analytics, SQL DB, Cosmos DB, MLStudio, Cognitive Services, Data Studio, App Service, Container Service, Kubernetes Service, Azure Functions),
  • Google Cloud Platform (Compute engine, Cloud SQL, Cloud Run, Cloud Functions, BigQuery, Data Flow, Data Prep, Pub/sub, Vertex AI, Vertex AI Generative AI studio, Looker),
  • Databricks, Snowflake, Zeppelin
MLOps: AWS Sagemaker, Azure Machine Learning Studio, Vertex AI, Apache Airflow, MLFlow
DevOps: Docker, Kubernetes, Jenkins, CI/CD
Data Visualization: PowerBI, Tableau, Looker, Quicksight, R Shiny, Seaborn, Google Analytics
Frontend: D3.JS, Plotly, Bubble, HighCharts, pyQt, Javascript, jQuery, CSS, HTML
Software Engineering: Pytest, Unittest, Flask, Restful API, Swagger, JSON, Postman, TCP/IP
Version control: Git, Github, Gitlab, Bitbucket
Project management: Scrum, Confluence, Jira
OS: Windows, Linux
Editors: PyCharm, VS Code, Jupyter, IntelliJ, Atom, Eclipse
 

Projekthistorie

05/2023 - 03/2024
Senior Data Analytics Cosnultant - Power BI
Global Mining Company (Sonstiges, >10.000 Mitarbeiter)

- Development of data analytics dashboards using Power BI
- Automation of ETL pipelines using for dashboards and reports
- Technologies used: Power BI, Power Query, Power Automate, MS Power Plat-form, Data Modeling, Python, Azure, Sharepoint

07/2022 - 12/2023
Lead Consultant - AI, Automation, Generative AI, LLMs
AI & Automation Startup (Internet und Informationstechnologie, < 10 Mitarbeiter)

- Conducting a pilot project with global industrial company with AI & LLM strategy pilot for adoption of LLMs for enterprise users Microsoft Copilot
- Developing a prototype of a LLM application using Langchain and AWS for making investment recommendations for a fintech startup
- Rapid prototyping of a customer analytics solution training machine learning models for prediction of consumer decisions with Google Cloud platform
- Development of business process automation & RPA services using Power Automate & Automation Anywhere
- Technologies used: Microsoft 365/Copilot, LLMs (Open AI GPT, ChatGPT, PaLM2, Bard/Gemini, Llama2), Langchain, Langserver, Langsmith, Tavily Ses-arch, Google Cloud Platform (Compute engine, Cloud SQL, Cloud Run, Cloud Functions, BigQuery, Data Flow, Data Prep, Pub/sub, Vertex AI, Vertex AI Generative AI studio, Looker), Automation Anywhere, Microsoft Power Auto-mate

07/2022 - 07/2023
Lead Data Scientist - NLP/LLM & Semantic Analytics
Global Pharmaceutical Company (Pharma und Medizintechnik, >10.000 Mitarbeiter)

- Leading a team of 6+ junior data scientists on development of an enterprise machine learning solution for semantic search
- Design, architecture, and development of a semantic search solution based on NLP and artificial intelligence for pharmaceutical industry
- Rapid prototyping of LLM-based solutions on top of multiple cloud technolo-gies for text embedding and question aswering
- Design & development of a systemized approach for evaluation of perfor-mance of text clustering solutions
- Conducting requirements engineering and ideation workshops with business and technical stakeholders
- Technologies used: Python, Java, Weka, Elasticsearch, Kibana, Large Lan-guage Models (LLM), Generative AI, GPT-3, ChatGPT, PaLM 2, Bard/Gemini, Hugging Face, Vertex AI, Generative AI Studio, Transformers, BERT, PyTorch, Gensim, Word2vec, Deeplearning4J, Approximate nearest neighbor search, HDBscan clustering, DBCV, FastAPI, Maven, Eclipse, Docker, CI/CD, Github Ac-tions, Confluence, Bitbucket

11/2021 - 06/2022
Solution Architect & MLOps Lead
Global Pharmaceutical & Biotech Company (Pharma und Medizintechnik, >10.000 Mitarbeiter)

- End-to-end Deployment of ML models in the production environment using a self-developed 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 
- Conducting requirements engineering and stakeholder management for the strategic planning of long-term IT initiatives
- Leading of a team of data scientists, data engineers, and DevOps engineers for the development of enterprise MLOps framework
- Technologies used: AWS Sagemaker, AWS Lambda, AWS Eventbridge, Python, Machine Learning, Apache Airflow, MLFlow

04/2021 - 03/2022
Lead Data Scientist & Data Engineer
Global Energy & Mobility Company (Energie, Wasser und Umwelt, >10.000 Mitarbeiter)

- Leading the development of machine learning-based predictive maintenance use case based on IoT data on AWS cloud infrastructure
- End-to-end development & deployment of machine learning model using AWS Sagemaker
- Design of the reference cloud architecture for predictive analytics use cases in AWS
- 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
- 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

07/2021 - 12/2021
Senior Data Engineer
Global Chemical Company, United States (Sonstiges, >10.000 Mitarbeiter)

- 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)

05/2021 - 11/2021
Solution Architect & Lead Data Scientist
Global Transportation & Mobility Company, Germany (Transport und Logistik, 5000-10.000 Mitarbeiter)

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

06/2020 - 04/2021
Lead Data Scientist & NLP Engineer
HR-tech startup (Internet und Informationstechnologie)

- Development of proof-of-concept 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.

09/2020 - 12/2020
Lead Big Data Strategy & Architecture Consultant
Global Biotech Company (Pharma und Medizintechnik, 5000-10.000 Mitarbeiter)

- Leading the data strategy & architecture initiative to conduct big data infrastructure health-checks 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.

10/2019 - 05/2020
Senior Data Scientist & NLP Engineer
Global Pharmaceutical Company (Pharma und Medizintechnik, >10.000 Mitarbeiter)

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
Senior Data Science & Solution Architecture Consultant
European Energy Company (via Sapient GmbH) (Energie, Wasser und Umwelt, 500-1000 Mitarbeiter)

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
Senior Data Scientist
Global automotive company (Via Sapient GmbH) (Automobil und Fahrzeugbau, >10.000 Mitarbeiter)

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
Senior Data Visualization & Analytics Specialist
Global automotive company (Via Sapient GmbH) (Automobil und Fahrzeugbau, >10.000 Mitarbeiter)

Project: Development and maintenance of marketing analytics dashboard for a global automotive company
  • Technologies used: Tableau, PowerBI, SQL

03/2019 - 04/2019
Business Analyst - AI & Data Science in Aviation
Global airline company (Via Accenture) (Transport und Logistik, >10.000 Mitarbeiter)

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
Data Scientist - Financial Analytics
European Financial Institution (via Accenture) (Banken und Finanzdienstleistungen, 1000-5000 Mitarbeiter)

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
Data Scientist & NLP Engineer
Global Information Technology Services Company (via Accenture) (Internet und Informationstechnologie, >10.000 Mitarbeiter)

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
Data Scientist
Global airline company (Via Accenture) (Transport und Logistik, >10.000 Mitarbeiter)

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
Business Analyst - Data Science & Machine Learning
European Railway Company (via Accenture) (Transport und Logistik, >10.000 Mitarbeiter)

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
Business Analyst - Data Architecture
Global Pharmaceutical company (via Accenture) (Pharma und Medizintechnik, >10.000 Mitarbeiter)

Project: Big data architecture planning for a global pharmaceutical company
  • Activities include strategic planning, big data architecture, project management.

02/2015 - 04/2018
Machine Learning Scientist
TU Dresden (Öffentlicher Dienst, 1000-5000 Mitarbeiter)

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
Data Scientist & NLP Engineer
Why Apply (Internet und Informationstechnologie, < 10 Mitarbeiter)

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
Data Engineer
The SaaS Co. (Internet und Informationstechnologie, 10-50 Mitarbeiter)

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
Virtual Reality Technology Specialist & Data Analyst
University-clinic Tuebingen (Pharma und Medizintechnik, 1000-5000 Mitarbeiter)

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
Machine Learning Engineer
MPI Intelligent Systems (Internet und Informationstechnologie, >10.000 Mitarbeiter)

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
Business Development Consultant
Sooren systems Ltd. (Internet und Informationstechnologie, < 10 Mitarbeiter)

  • 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

Zertifikate

LangChain for LLM Application Development
Deeplearning.ai
2024
Langchain Chat with Your Data
Deeplearning.ai
2024
Generative AI for Developers
Google
2024
Generative AI
Google
2023
Generative AI with Large Language Models
Deeplearning.AI
2023
DevOps and Build Automation with Python
Learn Quest
2023
ChatGPT Prompt Engineering for Developers
DeepLearning.AI
2023
Deep Learning Specialization
DeepLearning.AI
2023
User Experience (UX) Design
Google
2022
AWS Cloud Practitioner Essentials
Amazon Web Services
2022
Scala and Spark for Big Data and Machine Learning
Udemy
2021
The Ultimate Hands-On Hadoop
Sundog Education
2021
Customer Analytics
Wharton School
2020
Digital Product Management
University of Virginia
2019
Data Visualization with D3.js
Infinite Skills
2019
Big Data Strategic Planning
Skillsoft
2018
Planning an Agile Software Development Project
Skillsoft
2018
GDPR Fast Track
Henley Business School
2018
Complex Data Engineering in Python
Skillsoft
2018
Tableau 10 A-Z: Hands-on Tableau Training for Data Science
Udemy
2018

Reisebereitschaft

Verfügbar in den Ländern Deutschland, Österreich und Schweiz
Remote: (Preferred) up to 100% / (Preferred) Up to 100%
Onsite: Up to 10%
Profilbild von Pouyan RFard Lead Consultant | AI, KI, Machine Learning | Generative AI, NLP, LLM | AI & Data Strategy | MLOps aus FrankfurtamMain Lead Consultant | AI, KI, Machine Learning | Generative AI, NLP, LLM | AI & Data Strategy | MLOps
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