Machine learning, computer vision, and deep learning, MLops, CI/CD, and data analysis . IT Project Manager and Business Analyst
Aktualisiert am 20.12.2024
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 20.12.2024
Verfügbar zu: 100%
davon vor Ort: 100%
Python Programming & Data Analysis
Big Data Analytics
agiles Projektmanagement
Machine learning
Data Visualization
Cloud Computing
TensorFlow
Natural Language Processing
Data Engineer
Deep Learning
SQL and Database Management
Agile Softwareentwicklung
Data Analysis & Statistics
Scrum Product Owner
Lean Management
Knowledge Management
English
Business fluent
German
Limited business fluent
Italian
Limited business fluent
Persian
Muttersprache

Einsatzorte

Einsatzorte

Düsseldorf (+100km) Munich (+10km) Cologne (+50km) Hanover (+20km)
Deutschland, Schweiz
möglich

Projekte

Projekte

4 years 5 months
2020-08 - now

Cidaas-ID-Validator

Agile Project Manager | Senior Data Scientist Agile Project Management Docker Kubernetes ...
Agile Project Manager | Senior Data Scientist
  • Spearheaded the development and deployment of scalable microservices for operationalizing machine learning models, significantly enhancing system performance and responsiveness.
  • Innovated a highly accurate OCR solution for extracting data from identity documents, greatly improving the precision and efficiency of data collection processes, leading to a 40% reduction in manual data entry errors.
  • Designed and implemented a sophisticated security framework for identity verification, utilizing Computer Vision and Advanced Modeling Techniques to detect fraudulent documents effectively, increasing fraud detection accuracy by 35%.
  • Initiated and led the creation of a cutting-edge HCI tool incorporating eye-tracking technology (ninoxipy) for real-time liveness detection, setting new standards in identity verification technology and enhancing user experience.
  • Played a crucial role in conceptualizing and implementing a comprehensive MLOps framework, facilitating seamless model integration, monitoring, and management, ensuring continuous improvement and operational excellence of deployed machine learning solutions.
  • Managed IT projects in an international corporate environment, successfully applying both agile and conventional methodologies, resulting in a 25% improvement in project delivery times.
  • Gained extensive experience in data management, including governance, maintenance, cleansing, and data modeling, which streamlined data workflows and improved data integrity.
  • Demonstrated expertise in data analysis with foundational skills in algorithms, bots, and AI, enabling advanced analytical capabilities and actionable insights for strategic decision-making.
  • Developed proficiency in using automation tools, contributing to increased operational efficiency and cost savings by automating repetitive tasks and processes.
  • Led change management and project management initiatives, driving organizational transformation and fostering a culture of continuous improvement.
  • Actively engaged in knowledge sharing through documentation and training, fostering an agile mindset across teams and enhancing collaborative efforts.
  • Mentored junior data scientists and project managers, providing guidance and support to develop their skills and advance their careers.
  • Coordinated cross-functional teams, ensuring alignment and effective communication between stakeholders, developers, and business units to achieve project objectives.
  • Conducted regular performance reviews and implemented feedback loops to continuously refine and improve project outcomes and team performance.
Agile Project Management Docker Kubernetes GitLab DC/OS Python C++ R OpenCV dlib Ray tesseract ocrupy Flask Jupyter-notebook numpy scipy pandas matplotlib seaborn PyTorch Pyro Tensorflow keras scikit-learn scikit-image scikt-fuzzy
WidasConcepts GmbH
Wimsheim
10 months
2019-11 - 2020-08

Advanced Data Analytics for Strategic Insights

Project Manager | Energy Data Analyzer Python scikit-learn Jupyter Noteb ...
Project Manager | Energy Data Analyzer
  • Advanced Data Analytics for Strategic Insights: Spearheaded a data regression analysis project to explore the relationship between company stock prices and industry trends, leveraging strategic insights for informed decision-making and aligning company strategies with market dynamics.
  • Innovative Data Warehousing Enhancements: Led the modernization of data warehousing techniques, focusing on data recall and segmentation improvements, thereby enhancing data storage and retrieval processes and supporting targeted data analysis.
  • Technical Inspection and Energy Analysis Expertise: Conducted thorough technical inspections and energy analyses to identify optimization opportunities, recommending solutions to reduce costs and promote sustainable operational practices.
  • Project Management and Leadership: Excelled in managing cross-functional teams, demonstrating leadership in orchestrating complex projects from conception to execution, fostering a culture of innovation, collaboration, and continuous improvement.
  • Bridging Technical Expertise with Strategic Vision: Utilized a unique capability to translate technical data insights into strategic business decisions, effectively communicating complex analytical findings to non-technical stakeholders and reinforcing the strategic importance of data science.
Python scikit-learn Jupyter Noteb numpy scipy statsmodels
Arotec GmbH
Monchengladbach
1 year 1 month
2018-11 - 2019-11

Modernization of Data Streamlining Processes

Data Scientist | Business Analyst KNIME Python Matlab ...
Data Scientist | Business Analyst
  • Modernization of Data Streamlining Processes: Actively led the initiative to overhaul and modernize data streamlining processes, significantly enhancing the efficiency of data handling and analysis. By adopting cutting-edge technologies and methodologies, I was able to facilitate faster, more accurate decision-making processes, setting new standards for operational excellence within A.B.K GmbH.
  • Development of Predictive Modelsfor Indoor Energy Use: Spearheaded the creation of an innovative predictive model using Supervised Deep Learning Algorithms to forecast indoor energy consumption. This model provided actionable insights, enabling the company to implement energy-saving measures, reduce costs, and contribute to sustainability goals. My role was crucial in not only developing the model but also in ensuring its integration into our strategic planning and operations.
  • Enhancement of Business Intelligence Tools: Took a leading role in enhancing business intelligence tools to provide deeper insights into market trends and consumer behavior. By refining these tools, I empowered the company to anticipate market shifts more accurately, tailor services to meet consumer demands, and secure a competitive advantage in the industry.
  • Optimization of Supply Chain Analytics: Drove the optimization of supply chain analytics, enabling the company to streamline operations, reduce overhead costs, and improve delivery times. My analytical skills were instrumental in identifying bottlenecks and implementing solutions that significantly
  • boosted operational efficiency and customer satisfaction.
  • Strategic Decision Support: Provided critical data-driven insights and analyses to support strategic decision-making processes. By accurately interpreting data and forecasting trends, I played a key role in guiding the company?s strategic direction, ensuring growth, and mitigating risks in a volatile market environment.
KNIME Python Matlab jupyter-notebook numpy scipy pandas matplotlib seaborn pillow keras scikit-learn Git Tableau
A.B.K GmbH
Köln
1 year 1 month
2017-11 - 2018-11

LISA

Researcher and Developer Python2 TRNSYS ipython ...
Researcher and Developer
  • Innovative Predictive Model Development for LISA Project: As a pivotal member of the LISA project team, I led the development of cutting-edge predictive models focused on enhancing control mechanisms for thermal comfort within smart office environments. Utilizing advanced data analytics and machine learning algorithms, my work significantly contributed to creating a more responsive and energy-efficient system. This not only improved the thermal comfort for occupants but also showcased the potential for AI-driven solutions in optimizing workplace environments.
  • Pioneering E-Learning in TRNSYS Technology: Demonstrated leadership in the educational sphere by developing and teaching comprehensive e-learning modules on TRNSYS, a leading simulation software used for the analysis of thermal systems. My efforts in crafting engaging and informative content made complex concepts accessible to a wide audience, fostering a deeper understanding of thermal system simulation. This initiative not only enhanced the skill set of students and professionals alike but also contributed to the broader adoption and application of TRNSYS in sustainable design projects.
Python2 TRNSYS ipython Autobahn Python spider MySQL
DFKI GmbH
Kaiserslautern
3 years 1 month
2014-04 - 2017-04

Comprehensive Security Management for Power Plant Operations

Data Anlyst | Security Manager TRNSYS Python2 SPSS ...
Data Anlyst | Security Manager
  • Comprehensive Security Management for Power Plant Operations: Spearheaded the implementation and oversight of advanced security management and control systems within the power plant. My strategic approach to enhancing security protocols and leveraging state-of-the-art technologies ensured the integrity and resilience of critical infrastructure. This initiative not only safeguarded against potential threats but also optimized operational efficiency, demonstrating my commitment to maintaining the highest standards of safety and security.
  • Innovative Energy and Exergy Analysis: Led a groundbreaking project utilizing Genetic Algorithms for the energy and exergy analysis of power plant operations. This pioneering research enabled the identification and implementation of optimization strategies for energy use, significantly reducing waste and improving the sustainability of operations. My work in this area highlighted the potential for advanced computational techniques to drive efficiency and environmental stewardship in the energy sector.
  • Sensitive Analysis of Exhaust Gases from Oil Companies: Directed a critical environmental project focused on the sensitive analysis of exhaust gases emitted by oil companies. By employing sophisticated analytical methods and technologies, my team and I provided invaluable insights into pollution sources and their impacts on air quality. This initiative was pivotal in developing targeted strategies for emissions reduction, underscoring my dedication to environmental protection and corporate responsibility
TRNSYS Python2 SPSS Simulink Matlab
Saman Energy Giti
Tehran

Aus- und Weiterbildung

Aus- und Weiterbildung

2011 ? 2014:

Renewable Energies and Environment

Master of Science

University of Tehran, Iran


2010 ? 2011:

Energy Engineering for Environmentally Sustainable World

Master of Science

Politecnico di Milano, Italy


2005 ? 2010:

Chemical engineering

Bachelor of Science

University of Tehran, Iran

Kompetenzen

Kompetenzen

Top-Skills

Python Programming & Data Analysis Big Data Analytics agiles Projektmanagement Machine learning Data Visualization Cloud Computing TensorFlow Natural Language Processing Data Engineer Deep Learning SQL and Database Management Agile Softwareentwicklung Data Analysis & Statistics Scrum Product Owner Lean Management Knowledge Management

Produkte / Standards / Erfahrungen / Methoden

Profile:

  • As a seasoned Senior Data Scientist with a comprehensive background spanning energy, artificial intelligence, and security management, I bring a wealth of experience in leveraging data to drive innovation, efficiency, and strategic insights. With a proven track record at leading organizations, including WidasConcepts, Arotec GmbH, A.B.K GmbH, and the German Research Center for AI, my expertise encompasses developing predictive models, enhancing data warehousing techniques, and implementing cutting-edge security measures. 
  • I have extensive experience in IT project management within international corporate environments, successfully applying both agile and conventional methodologies. My robust analytical skills are complemented by a deep understanding of machine learning, data management (governance, maintenance, cleansing, data models), and data analysis tools. I am proficient in using automation tools and have demonstrated my ability to lead change management and project management initiatives. 
  • Additionally, my commitment to knowledge sharing through documentation and training fosters an agile mindset across teams. Fluent in multiple languages and equipped with a diverse educational background in renewable energies and environment, I am adept at navigating complex global business landscapes to deliver impactful outcomes.


Project Management

  • Scrum
  • Kanban
  • VSM
  • Sigma
  • Process Mapping


Libraries

  • Numpy
  • Scipy
  • Pandas
  • scikit-learn
  • scikit-fuzzy
  • scikit-image
  • OpenCV
  • dlib
  • PyTorch
  • Tensorflow
  • Keras
  • Django
  • Flask
  • FastAPI
  • Sphinx


Energy Analysis Programs

  • TRNSYS
  • EnergyPlus


Visualization Tools

  • matplotlib
  • seaborn
  • plotly
  • Tableau


IDEs

  • PyCharm
  • Visual Studio Code
  • Sublime-text
  • RStudio


MLOps Tools

  • GitLab CI/CD
  • Docker
  • Kubernetes
  • MLFlow
  • Apache Kafka

Programmiersprachen

Python
R
C
C++
MATLAB

Datenbanken

Linux
MacOS
Windows

Einsatzorte

Einsatzorte

Düsseldorf (+100km) Munich (+10km) Cologne (+50km) Hanover (+20km)
Deutschland, Schweiz
möglich

Projekte

Projekte

4 years 5 months
2020-08 - now

Cidaas-ID-Validator

Agile Project Manager | Senior Data Scientist Agile Project Management Docker Kubernetes ...
Agile Project Manager | Senior Data Scientist
  • Spearheaded the development and deployment of scalable microservices for operationalizing machine learning models, significantly enhancing system performance and responsiveness.
  • Innovated a highly accurate OCR solution for extracting data from identity documents, greatly improving the precision and efficiency of data collection processes, leading to a 40% reduction in manual data entry errors.
  • Designed and implemented a sophisticated security framework for identity verification, utilizing Computer Vision and Advanced Modeling Techniques to detect fraudulent documents effectively, increasing fraud detection accuracy by 35%.
  • Initiated and led the creation of a cutting-edge HCI tool incorporating eye-tracking technology (ninoxipy) for real-time liveness detection, setting new standards in identity verification technology and enhancing user experience.
  • Played a crucial role in conceptualizing and implementing a comprehensive MLOps framework, facilitating seamless model integration, monitoring, and management, ensuring continuous improvement and operational excellence of deployed machine learning solutions.
  • Managed IT projects in an international corporate environment, successfully applying both agile and conventional methodologies, resulting in a 25% improvement in project delivery times.
  • Gained extensive experience in data management, including governance, maintenance, cleansing, and data modeling, which streamlined data workflows and improved data integrity.
  • Demonstrated expertise in data analysis with foundational skills in algorithms, bots, and AI, enabling advanced analytical capabilities and actionable insights for strategic decision-making.
  • Developed proficiency in using automation tools, contributing to increased operational efficiency and cost savings by automating repetitive tasks and processes.
  • Led change management and project management initiatives, driving organizational transformation and fostering a culture of continuous improvement.
  • Actively engaged in knowledge sharing through documentation and training, fostering an agile mindset across teams and enhancing collaborative efforts.
  • Mentored junior data scientists and project managers, providing guidance and support to develop their skills and advance their careers.
  • Coordinated cross-functional teams, ensuring alignment and effective communication between stakeholders, developers, and business units to achieve project objectives.
  • Conducted regular performance reviews and implemented feedback loops to continuously refine and improve project outcomes and team performance.
Agile Project Management Docker Kubernetes GitLab DC/OS Python C++ R OpenCV dlib Ray tesseract ocrupy Flask Jupyter-notebook numpy scipy pandas matplotlib seaborn PyTorch Pyro Tensorflow keras scikit-learn scikit-image scikt-fuzzy
WidasConcepts GmbH
Wimsheim
10 months
2019-11 - 2020-08

Advanced Data Analytics for Strategic Insights

Project Manager | Energy Data Analyzer Python scikit-learn Jupyter Noteb ...
Project Manager | Energy Data Analyzer
  • Advanced Data Analytics for Strategic Insights: Spearheaded a data regression analysis project to explore the relationship between company stock prices and industry trends, leveraging strategic insights for informed decision-making and aligning company strategies with market dynamics.
  • Innovative Data Warehousing Enhancements: Led the modernization of data warehousing techniques, focusing on data recall and segmentation improvements, thereby enhancing data storage and retrieval processes and supporting targeted data analysis.
  • Technical Inspection and Energy Analysis Expertise: Conducted thorough technical inspections and energy analyses to identify optimization opportunities, recommending solutions to reduce costs and promote sustainable operational practices.
  • Project Management and Leadership: Excelled in managing cross-functional teams, demonstrating leadership in orchestrating complex projects from conception to execution, fostering a culture of innovation, collaboration, and continuous improvement.
  • Bridging Technical Expertise with Strategic Vision: Utilized a unique capability to translate technical data insights into strategic business decisions, effectively communicating complex analytical findings to non-technical stakeholders and reinforcing the strategic importance of data science.
Python scikit-learn Jupyter Noteb numpy scipy statsmodels
Arotec GmbH
Monchengladbach
1 year 1 month
2018-11 - 2019-11

Modernization of Data Streamlining Processes

Data Scientist | Business Analyst KNIME Python Matlab ...
Data Scientist | Business Analyst
  • Modernization of Data Streamlining Processes: Actively led the initiative to overhaul and modernize data streamlining processes, significantly enhancing the efficiency of data handling and analysis. By adopting cutting-edge technologies and methodologies, I was able to facilitate faster, more accurate decision-making processes, setting new standards for operational excellence within A.B.K GmbH.
  • Development of Predictive Modelsfor Indoor Energy Use: Spearheaded the creation of an innovative predictive model using Supervised Deep Learning Algorithms to forecast indoor energy consumption. This model provided actionable insights, enabling the company to implement energy-saving measures, reduce costs, and contribute to sustainability goals. My role was crucial in not only developing the model but also in ensuring its integration into our strategic planning and operations.
  • Enhancement of Business Intelligence Tools: Took a leading role in enhancing business intelligence tools to provide deeper insights into market trends and consumer behavior. By refining these tools, I empowered the company to anticipate market shifts more accurately, tailor services to meet consumer demands, and secure a competitive advantage in the industry.
  • Optimization of Supply Chain Analytics: Drove the optimization of supply chain analytics, enabling the company to streamline operations, reduce overhead costs, and improve delivery times. My analytical skills were instrumental in identifying bottlenecks and implementing solutions that significantly
  • boosted operational efficiency and customer satisfaction.
  • Strategic Decision Support: Provided critical data-driven insights and analyses to support strategic decision-making processes. By accurately interpreting data and forecasting trends, I played a key role in guiding the company?s strategic direction, ensuring growth, and mitigating risks in a volatile market environment.
KNIME Python Matlab jupyter-notebook numpy scipy pandas matplotlib seaborn pillow keras scikit-learn Git Tableau
A.B.K GmbH
Köln
1 year 1 month
2017-11 - 2018-11

LISA

Researcher and Developer Python2 TRNSYS ipython ...
Researcher and Developer
  • Innovative Predictive Model Development for LISA Project: As a pivotal member of the LISA project team, I led the development of cutting-edge predictive models focused on enhancing control mechanisms for thermal comfort within smart office environments. Utilizing advanced data analytics and machine learning algorithms, my work significantly contributed to creating a more responsive and energy-efficient system. This not only improved the thermal comfort for occupants but also showcased the potential for AI-driven solutions in optimizing workplace environments.
  • Pioneering E-Learning in TRNSYS Technology: Demonstrated leadership in the educational sphere by developing and teaching comprehensive e-learning modules on TRNSYS, a leading simulation software used for the analysis of thermal systems. My efforts in crafting engaging and informative content made complex concepts accessible to a wide audience, fostering a deeper understanding of thermal system simulation. This initiative not only enhanced the skill set of students and professionals alike but also contributed to the broader adoption and application of TRNSYS in sustainable design projects.
Python2 TRNSYS ipython Autobahn Python spider MySQL
DFKI GmbH
Kaiserslautern
3 years 1 month
2014-04 - 2017-04

Comprehensive Security Management for Power Plant Operations

Data Anlyst | Security Manager TRNSYS Python2 SPSS ...
Data Anlyst | Security Manager
  • Comprehensive Security Management for Power Plant Operations: Spearheaded the implementation and oversight of advanced security management and control systems within the power plant. My strategic approach to enhancing security protocols and leveraging state-of-the-art technologies ensured the integrity and resilience of critical infrastructure. This initiative not only safeguarded against potential threats but also optimized operational efficiency, demonstrating my commitment to maintaining the highest standards of safety and security.
  • Innovative Energy and Exergy Analysis: Led a groundbreaking project utilizing Genetic Algorithms for the energy and exergy analysis of power plant operations. This pioneering research enabled the identification and implementation of optimization strategies for energy use, significantly reducing waste and improving the sustainability of operations. My work in this area highlighted the potential for advanced computational techniques to drive efficiency and environmental stewardship in the energy sector.
  • Sensitive Analysis of Exhaust Gases from Oil Companies: Directed a critical environmental project focused on the sensitive analysis of exhaust gases emitted by oil companies. By employing sophisticated analytical methods and technologies, my team and I provided invaluable insights into pollution sources and their impacts on air quality. This initiative was pivotal in developing targeted strategies for emissions reduction, underscoring my dedication to environmental protection and corporate responsibility
TRNSYS Python2 SPSS Simulink Matlab
Saman Energy Giti
Tehran

Aus- und Weiterbildung

Aus- und Weiterbildung

2011 ? 2014:

Renewable Energies and Environment

Master of Science

University of Tehran, Iran


2010 ? 2011:

Energy Engineering for Environmentally Sustainable World

Master of Science

Politecnico di Milano, Italy


2005 ? 2010:

Chemical engineering

Bachelor of Science

University of Tehran, Iran

Kompetenzen

Kompetenzen

Top-Skills

Python Programming & Data Analysis Big Data Analytics agiles Projektmanagement Machine learning Data Visualization Cloud Computing TensorFlow Natural Language Processing Data Engineer Deep Learning SQL and Database Management Agile Softwareentwicklung Data Analysis & Statistics Scrum Product Owner Lean Management Knowledge Management

Produkte / Standards / Erfahrungen / Methoden

Profile:

  • As a seasoned Senior Data Scientist with a comprehensive background spanning energy, artificial intelligence, and security management, I bring a wealth of experience in leveraging data to drive innovation, efficiency, and strategic insights. With a proven track record at leading organizations, including WidasConcepts, Arotec GmbH, A.B.K GmbH, and the German Research Center for AI, my expertise encompasses developing predictive models, enhancing data warehousing techniques, and implementing cutting-edge security measures. 
  • I have extensive experience in IT project management within international corporate environments, successfully applying both agile and conventional methodologies. My robust analytical skills are complemented by a deep understanding of machine learning, data management (governance, maintenance, cleansing, data models), and data analysis tools. I am proficient in using automation tools and have demonstrated my ability to lead change management and project management initiatives. 
  • Additionally, my commitment to knowledge sharing through documentation and training fosters an agile mindset across teams. Fluent in multiple languages and equipped with a diverse educational background in renewable energies and environment, I am adept at navigating complex global business landscapes to deliver impactful outcomes.


Project Management

  • Scrum
  • Kanban
  • VSM
  • Sigma
  • Process Mapping


Libraries

  • Numpy
  • Scipy
  • Pandas
  • scikit-learn
  • scikit-fuzzy
  • scikit-image
  • OpenCV
  • dlib
  • PyTorch
  • Tensorflow
  • Keras
  • Django
  • Flask
  • FastAPI
  • Sphinx


Energy Analysis Programs

  • TRNSYS
  • EnergyPlus


Visualization Tools

  • matplotlib
  • seaborn
  • plotly
  • Tableau


IDEs

  • PyCharm
  • Visual Studio Code
  • Sublime-text
  • RStudio


MLOps Tools

  • GitLab CI/CD
  • Docker
  • Kubernetes
  • MLFlow
  • Apache Kafka

Programmiersprachen

Python
R
C
C++
MATLAB

Datenbanken

Linux
MacOS
Windows

Vertrauen Sie auf Randstad

Im Bereich Freelancing
Im Bereich Arbeitnehmerüberlassung / Personalvermittlung

Fragen?

Rufen Sie uns an +49 89 500316-300 oder schreiben Sie uns:

Das Freelancer-Portal

Direktester geht's nicht! Ganz einfach Freelancer finden und direkt Kontakt aufnehmen.