freiberufler MLOps Solution Architect | Lead Data Scientist | Data Strategy Consultant auf

MLOps Solution Architect | Lead Data Scientist | Data Strategy Consultant

zuletzt online vor 4 Tagen
  • auf Anfrage
  • 60389 Frankfurt am Main
  • DACH-Region
  • fa  |  en  |  de
  • 05.08.2022


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

Ich biete

  • Amazon Web Services (AWS)
  • Big Data
  • Cloud Computing
  • Continuous Delivery (CDE)
  • CSS (Cascading Style Sheet)
  • Data Science
  • DevOps
  • Machinelles Lernen (allg.)
  • Microsoft Azure
  • Natural Language Processing (NLP)
  • Software Architektur / Modellierung

Projekt‐ & Berufserfahrung

Lead Consultant - NLP & Business Analytics
Global Pharmaceutical Company, Frankfurt am Main
7/2022 – offen (2 Monate)

7/2022 – offen


Data Science, NLP, Business Analytics

Eingesetzte Qualifikationen

Data Science, Natural Language Processing (NLP)

Solution Architect & MLOps Lead
Global Pharmaceutical & Biotech Company, Basel
11/2021 – 6/2022 (8 Monate)
Life Sciences

11/2021 – 6/2022


Solution Architect & MLOps Lead

Eingesetzte Qualifikationen

Amazon Web Services (AWS), Data Science, DevOps, Machinelles Lernen (allg.), Software Architektur / Modellierung

Senior Data Engineer
Global Chemical Company, Frankfurt am Main
7/2021 – 12/2021 (6 Monate)

7/2021 – 12/2021


- 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)

Eingesetzte Qualifikationen

Amazon Web Services (AWS), Continuous Delivery (CDE), Docker, Git, Python, Software engineering / -technik, Testing (IT)

Solution Architect & Lead Data Scientist
Global Transportation & Mobility Company, Germany, Frankfurt am Main
5/2021 – 11/2021 (7 Monate)
Transportation & Mobility

5/2021 – 11/2021


- 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

Eingesetzte Qualifikationen

Apache Spark, Azure Synapse Analytics, Data Science, Machinelles Lernen (allg.), Microsoft Azure, Python, Tableau

Lead Data Scientist & Data Engineer
Global Energy Company, Frankfurt am Main
4/2021 – 3/2022 (1 Jahr)
Öl- und Gasindustrie

4/2021 – 3/2022


- Leading the development of machine learning-based predictive maintenance use case based on IoT data on AWS cloud infrastructure
- End-to-end development & deployment on 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 infrastruc-ture
- 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

Eingesetzte Qualifikationen

Amazon Web Services (AWS), Big Data, Cloud Computing, Data Science, Machinelles Lernen (allg.)

Lead Big Data Strategy & Architecture Consultant
Global Biotech Company, Frankfurt am Main
9/2020 – 12/2020 (4 Monate)
Life Sciences

9/2020 – 12/2020


Lead consultant for data strategy & architecture

Eingesetzte Qualifikationen

Big Data, E-procurement, Infrastrukturarchitektur, IT-Strategieberatung, Requirement Analyse, SAP BW, SAP BW/4HANA

Lead Data Scientist & NLP Engineer
HR-tech startup company, Frankfurt
6/2020 – 4/2021 (11 Monate)
IT & Entwicklung

6/2020 – 4/2021


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

Eingesetzte Qualifikationen

Continuous Delivery (CDE), CSS (Cascading Style Sheet), HTML, JavaScript, Microsoft Azure, Natural Language Processing (NLP), Python

Senior Data Scientist & NLP Engineer
Global Pharmaceutical Company, Frankfurt am Main
10/2019 – 5/2020 (8 Monate)

10/2019 – 5/2020


- 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,, Prodigy, Spacy, Tensorflow, PyTorch, D3.JS, Highcharts, Jenkins, PyCharm , Bitbucket, Jira, Confluence.

Eingesetzte Qualifikationen

Amazon Web Services (AWS), Apache Spark, Docker, Google Cloud, Machinelles Lernen (allg.), Microsoft Azure, Natural Language Processing (NLP), Python, Software Architektur / Modellierung, Software Design

Senior Data Science & Solution Architecture Consultant
European Energy Company (via Sapient GmbH), Frankfurt am Main
10/2019 – 10/2019 (1 Monat)
Öl- und Gasindustrie

10/2019 – 10/2019


Activities included: Business analysis, Use case definition, Business development, Solution design with machine learning

Eingesetzte Qualifikationen

Business Analyse, Business Development, Business Intelligence and Reporting Tools (BIRT), Data Science, Machinelles Lernen (allg.), Software Design

Senior Data Scientist
Global automotive company (Via Sapient GmbH), Turin
7/2019 – 10/2019 (4 Monate)

7/2019 – 10/2019


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.

Eingesetzte Qualifikationen

Confluence (Atlassian), Jira, Machinelles Lernen (allg.), Microsoft Azure, PostgreSQL, Python

Senior Data Visualization & Analytics Specialist (Tableau/Power BI)
Global automotive company (Via Sapient GmbH), Frankfurt am Main
7/2019 – 9/2019 (3 Monate)

7/2019 – 9/2019


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

Eingesetzte Qualifikationen

Business Intelligence (BI), Data Science, SQL, Tableau

Business Analyst - AI & Data Science in Aviation
Global airline company (Via Accenture), Frankfurt am Main
3/2019 – 4/2019 (2 Monate)
Tourismus und Freizeitwirtschaft

3/2019 – 4/2019


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

Eingesetzte Qualifikationen

Business Analyse, Business Development, Data Science, Machinelles Lernen (allg.)

Data Scientist - Financial Analytics
European Financial Institution (via Accenture), Frankfurt am Main
2/2019 – 4/2019 (3 Monate)

2/2019 – 4/2019


Project: Developing a finance dashboard for the visualization of historical trends along with forecasted trends of economic KPIs
Technologies used: R Shiny, Machine Learning

Eingesetzte Qualifikationen

Data Science, Machinelles Lernen (allg.)

Data Scientist & NLP Engineer
Global Information Technology Services Company (vi, Frankfurt am Main
1/2019 – 4/2019 (4 Monate)
IT & Entwicklung

1/2019 – 4/2019


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

Eingesetzte Qualifikationen

Data Science, ETL, Machinelles Lernen (allg.), Microsoft Azure, Python, SQL

Data Scientist
Global airline company (Via Accenture), Nice
9/2018 – 12/2018 (4 Monate)
Tourismus und Freizeitwirtschaft

9/2018 – 12/2018


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

Eingesetzte Qualifikationen

Apache Hadoop, Machinelles Lernen (allg.), PostgreSQL, Python, Tableau

Business Analyst - Data Science & Machine Learning
European Railway Company (via Accenture), Frankfurt am Main
7/2018 – 8/2018 (2 Monate)

7/2018 – 8/2018


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

Eingesetzte Qualifikationen

Business Analyse, Business Development, Machinelles Lernen (allg.), Software Design

Business Analyst - Data Architecture
Global Pharmaceutical company (via Accenture), Leverkusen
6/2018 – 7/2018 (2 Monate)
Life Sciences

6/2018 – 7/2018


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

Eingesetzte Qualifikationen

Big Data, IT-Strategieberatung, Projektmanagement (IT), Software Architektur / Modellierung

Data Scientist & NLP Engineer
Why Apply, Leipzig
11/2016 – 5/2017 (7 Monate)
IT & Entwicklung

11/2016 – 5/2017


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.

Eingesetzte Qualifikationen

Natural Language Processing (NLP), Python, Qt, Google Cloud, Google Analytics

Data Engineer
The SaaS Co., Berlin
7/2016 – 9/2016 (3 Monate)
IT & Entwicklung

7/2016 – 9/2016


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

Eingesetzte Qualifikationen

PostgreSQL, Natural Language Processing (NLP), Python, Cloud Computing

Machine Learning Scientist
TU Dresden, Dresden
2/2015 – 4/2018 (3 Jahre, 3 Monate)
Hochschulen und Forschungseinrichtungen

2/2015 – 4/2018


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.

Eingesetzte Qualifikationen

Data Science, Statistik (allg.), Datenanalyse, Machinelles Lernen (allg.), Python

Machine Learning Engineer
MPI Intelligent Systems, Tuebingen
3/2013 – 11/2013 (9 Monate)
Hochschulen und Forschungseinrichtungen

3/2013 – 11/2013


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

Eingesetzte Qualifikationen

Deeplearning4j, Machinelles Lernen (allg.), Rekurrentes Neuronales Netzwerk (RNN), Support Vector Machine (SVM), MATLAB / Simulink, Python

Virtual Reality Specialist & Data Analyst
University-clinic Tuebingen, Tuebingen
11/2012 – 11/2014 (2 Jahre, 1 Monat)

11/2012 – 11/2014


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.

Eingesetzte Qualifikationen

Motionbuilder, Support Vector Machine (SVM), C++, MATLAB / Simulink, TCP/IP, Virtual Reality

Business Development Consultant
Sooren Systems Ltd., Tehran
3/2012 – 12/2012 (10 Monate)
IT & Entwicklung

3/2012 – 12/2012


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

Eingesetzte Qualifikationen

Business Development, Software Design


Computational Intelligence
Jahr: 2022
Ort: Dresden
Strategic Business َAnalytics
Jahr: 2018
Ort: Frankfurt am Main
Neural Information Processing
Jahr: 2014
Ort: Tübingen
Information Technology Engineering
Jahr: 2012
Ort: Tehran, Iran


Programming languages: Python, Java, Scala, R, C++, C#, Matlab.
Machine Learning: SKlearn, Tensorflow, Keras, pyTorch, DL4J
Frontend, Web, and Frameworks: pyQt, Javascript, jQuery, CSS, HTML, Flask, Restful API, Swagger, JSON, Postman, TCP/IP
Data Analytics/Visualization: Tableau,PowerBI, D3.JS, Dash, HighCharts, Seaborn, Excel, Google Analytics
Database: MySQL, PosgreSQL, MariaDB, MongoDB.
Big Data: Hive, Impala, Hue, Spark, Hadoop (HDFS), Apache SOLR
Cloud/DevOps: AWS, Azure, Google Cloud, Docker, Jenkins
Version control: Git, Bitbucket
Project management: Scrum, Confluence, Jira
OS: Windows, Linux
Editors: PyCharm, IntelliJ, VS Code, Eclipse

Über mich

 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 pro-cessing.

 Highly detail-oriented data scientist leveraging domain knowledge, data analytics, effective communica-tion, 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 solu-tions, digital product management, and business development resulting 10+ software platforms, 10 publi-cations, and over 5 million dollars in company revenues.

Persönliche Daten

  • Persisch (Muttersprache)
  • Englisch (Fließend)
  • Deutsch (Gut)
  • Europäische Union
  • Schweiz
10 Jahre und 11 Monate (seit 09/2011)
2 Jahre


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