Cross-layer artificial intelligence and machine learning on premise / edge / cloud, Public and Private cloud system architecture
Aktualisiert am 16.06.2024
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Artificial intelligence
machine learning on premise / edge / cloud
process mining
Text Mining
data mining
java
Azure
MS Azure SQL Database
R
Python
Cloud
English
fluent
German
fluent
Dutch
fluent

Einsatzorte

Einsatzorte

Koln (+300km)
Deutschland, Schweiz
möglich

Projekte

Projekte

7 Monate
2021-06 - 2021-12

Troubleshooting

Bigdata and cloud architect Azure data factory Databricks Azure function ...
Bigdata and cloud architect
  • Investigate data to identify potential issues within ETL pipelines, and propose adequate solutions.

  • Conduct preliminary testing of the dataserver environments before data is extracted.

  • Preparing a unified version of data factory pipelines (from 40 to 12 pipelines), and re-write most pipelines

  • Extract data and transfer it into the archive environment, and working directory.

  • The validation functions for parsing all xml and csv files are explored to improve performance

  • In the unified version of pipelines, the azure functions rewritten in Java

  • Present datalakes, marts and warehousing options based on storage needs.

  • Ensure that the data architecture is scalable and maintainable.

  • Evaluation, cost estimation and selection of suitable technological solutions

  • Perform POC to digitalize reporting system for logistics

  • Use python to extract xml streams , make data model out of these extracted data , and change the result to pdf

Azure data factory Databricks Azure function Scala Spark PySpark Java Keyvault Azure SQL DB and more
EDEKA DIGITAL, Hamburg, Germany
2 Jahre 1 Monat
2019-08 - 2021-08

Internal Project

Senior Consultant in process mining and data science SAP MM Celonis; Signavio process intelligence Lana Lab ...
Senior Consultant in process mining and data science
  • Process mining projects leader

  • Working as process intelligence and AI senior consultant with R&D teams of large automotive and manufacturing sector

  • Evaluation, cost estimation and market analysis for selecting suitable process mining tools

  • Preparation of process mining and AI proposals for large customers in automotive, manufacturing sectors

  • Preparation and presentation of process mining portfolio aiming to customers

  • Preparation of an internal statistics and machine learning training for CGI members

  • Collaborating in AI initiative group on various business and educational project

  • Preparing and organizing of talk series on process mining topic

SAP MM Celonis; Signavio process intelligence Lana Lab Automation anywhere K2 Celonis Analyst Celonis Data engineer Celonis business user Celonis Executive Automation Anywhere Advanced RPA professional
CGI
4 Monate
2021-03 - 2021-06

Data management conceptualization for the new big data platform

Bigdata and cloud architect Azure Datalake Hybrid platform design Azure Cost Analysis ...
Bigdata and cloud architect
  • Data management conceptualization for the new big data platform

  • Design and cost estimate for implementation of big data test platform on Azure Cloud with defined number of master nodes and worker nodes

  • Proposal for development of the solution design for a hybrid training platform

  • Evaluation, cost estimation and selection of suitable technological solutions

  • Presentation of the Azure Dev Cluster solution to all the stakeholders

Azure Datalake Hybrid platform design Azure Cost Analysis Python
Telefonica
9 Monate
2020-06 - 2021-02

Design and Create a Big Data platform

Bigdata developer and architect and database architect Azure data factory Databricks Azure function ...
Bigdata developer and architect and database architect
  • Design and Create a Big Data platform (Customer Analytics Engine)

  • Implemented pipelines and infrastructure on big data platform, design and implement ETL processes, create demos, reports and documentation.

  • Developed automation of applications and perform Production deployments.

  • Monitoring and logging design, process monitoring implementation.

  • Built Architecture diagrams

Azure data factory Databricks Azure function Spark Python
BMW
4 Jahre 3 Monate
2015-05 - 2019-07

Lectureship

Teaching assistant in Business informatics group
Teaching assistant in Business informatics group

Courses

  • Business Process Modeling (BPM): 2018 - 2019

  • Business Process Modeling (BPM): 2017 - 2018

  • Knowledge Discovery/ Data Mining: 2016 - 2017

  • E-Business Strategy: 2015 - 2016

  • Business Information Systems: 2015 - 2016

Hasselt University, Hasselt, Belgium
4 Jahre 3 Monate
2015-05 - 2019-07

Application of data analytics techniques in auditing

Researcher in business processes and artificial intelligence Prom Disco Lana lab ...
Researcher in business processes and artificial intelligence

Both qualitative and quantitative approaches

  • Define high level categories for deviations in a continuous auditing context

  • Design deviation detection tool for auditing using process conformance checking technique

  • Design and implement deviation classification tool using sequence mining and frequent item set mining

Prom Disco Lana lab Celonis Java R Python Weka Nvivo Excel Tex
Hasselt University, Hasselt, Belgium
3 Monate
2018-07 - 2018-09

Accounting Information Systems

Researcher in both school of computer science and accounting information system department Java Disco Prom ...
Researcher in both school of computer science and accounting information system department
  • Designing process conformance checking toolkit for internal control

  • Team working towards developing a comprehensive process analysis tool

  • Presenting process mining qualitative and quantitative research outputs in workshops

Java Disco Prom R Python Matlab
The university of Melbourne, Australia
2 Jahre 1 Monat
2011-09 - 2013-09

Application of active Learning techniques in Spatial Information Extraction

Researcher in artificial intelligence and data mining Java Weka Matlab ...
Researcher in artificial intelligence and data mining

Research method: Quantitative approach

  • Test and evaluate several active learning algorithms on various criteria such as uncertainty over sequence tagging, uncertainty of the roles, entropy, etc.

  • Introduce and evaluate a novel active learning strategy for the spatial role labeling task: Active learning based on structured output constraints

Java Weka Matlab R Python
KU Leuven University, Leuven, Belgium
4 Jahre 8 Monate
2005-04 - 2009-11

Operating, troubleshooting and maintenance

Senior telecom engineer and BSC team leader Reflection HIT MML ...
Senior telecom engineer and BSC team leader
  • Operating, troubleshooting and maintenance of 14 Shiraz Base Station Centers (BSCs) in six different locations with more than 490 BTS sites

  • Technical Leadership of the BSC team

  • Performing Nokia BTS definition in BSC using tools such as Reflection/ HIT

  • Logging and monitoring Nokia BSC alarm and fault handling using MML and NED

  • Running Diagnosis for Nokia, Siemens and Huawei BSC units and Transcoder modules

  • Upgrading capacity of BSCs via BTS site creation and TRX and TCSM creation

  • Rehoming Nokia, Siemens and Huawei BSCs inter or intra MSC

  • Creation of GPRS/EGPRS service on BSCs and BTS sites

Reflection HIT MML NED MS Office Visual Basic
Mobile Communication Company of Iran (MCI), Shiraz

Aus- und Weiterbildung

Aus- und Weiterbildung

2019

Promotion - Business Intelligence

Hasselt University, Belgium

Degree: PhD

2013

Study - Artificial Intelligence

KU Lueven University, Belgium

Degree: Master of Science

2004

Study - Software Engineering

Shiraz University

Degree: Master of Science

Position

Position

Bigdata and Process mining scientist, Cloud architect

Kompetenzen

Kompetenzen

Top-Skills

Artificial intelligence machine learning on premise / edge / cloud process mining Text Mining data mining java Azure MS Azure SQL Database R Python Cloud

Schwerpunkte

  • Cross-layer artificial intelligence and machine learning on premise / edge / cloud

  • Public and Private cloud system architecture

  • Diverse technologies: Hadoop, Azure databricks, R, Python, Java, NoSQL, SQL, Deep learning, NLP and document text mining, process mining tools

  • Predictive and prescriptive modelling

  • Senior researcher in applications of artificial intelligence

  • Cross-industry experience: Logistics and retails, Automotive, Finance, Telecommunication, Transportation

  • Proposals, Pricing, Contracts, Negotiation

  • Presentation: Webinar, workshop, conference

  • Product, Project management (PMP, Scrum)

  • Colaborative leadership

Coaching, training and team building

Produkte / Standards / Erfahrungen / Methoden

Techncal Skills

  • Azure data lake, Data factory, Azure DevOps, Log Analytics, Databricks

  • Cloud infrastructure and resource deployment

  • Azure Cloud design, implementation, and project management

  • DevOps, Application development

  • Big data architecture

  • R, Python, Matlab, applying machine learning techniques

  • JAVA, J2EE, XML, HTML

  • MySQL, PostgreSQL, Access, SQL Server

Process Analysis

  • Disco, Prom, Celonis, Lanalab

  • Process modeling

  • Data modeling

Branchen

Branchen

  • Telecommunication

  • Transportation

  • Education

  • Research and development

Einsatzorte

Einsatzorte

Koln (+300km)
Deutschland, Schweiz
möglich

Projekte

Projekte

7 Monate
2021-06 - 2021-12

Troubleshooting

Bigdata and cloud architect Azure data factory Databricks Azure function ...
Bigdata and cloud architect
  • Investigate data to identify potential issues within ETL pipelines, and propose adequate solutions.

  • Conduct preliminary testing of the dataserver environments before data is extracted.

  • Preparing a unified version of data factory pipelines (from 40 to 12 pipelines), and re-write most pipelines

  • Extract data and transfer it into the archive environment, and working directory.

  • The validation functions for parsing all xml and csv files are explored to improve performance

  • In the unified version of pipelines, the azure functions rewritten in Java

  • Present datalakes, marts and warehousing options based on storage needs.

  • Ensure that the data architecture is scalable and maintainable.

  • Evaluation, cost estimation and selection of suitable technological solutions

  • Perform POC to digitalize reporting system for logistics

  • Use python to extract xml streams , make data model out of these extracted data , and change the result to pdf

Azure data factory Databricks Azure function Scala Spark PySpark Java Keyvault Azure SQL DB and more
EDEKA DIGITAL, Hamburg, Germany
2 Jahre 1 Monat
2019-08 - 2021-08

Internal Project

Senior Consultant in process mining and data science SAP MM Celonis; Signavio process intelligence Lana Lab ...
Senior Consultant in process mining and data science
  • Process mining projects leader

  • Working as process intelligence and AI senior consultant with R&D teams of large automotive and manufacturing sector

  • Evaluation, cost estimation and market analysis for selecting suitable process mining tools

  • Preparation of process mining and AI proposals for large customers in automotive, manufacturing sectors

  • Preparation and presentation of process mining portfolio aiming to customers

  • Preparation of an internal statistics and machine learning training for CGI members

  • Collaborating in AI initiative group on various business and educational project

  • Preparing and organizing of talk series on process mining topic

SAP MM Celonis; Signavio process intelligence Lana Lab Automation anywhere K2 Celonis Analyst Celonis Data engineer Celonis business user Celonis Executive Automation Anywhere Advanced RPA professional
CGI
4 Monate
2021-03 - 2021-06

Data management conceptualization for the new big data platform

Bigdata and cloud architect Azure Datalake Hybrid platform design Azure Cost Analysis ...
Bigdata and cloud architect
  • Data management conceptualization for the new big data platform

  • Design and cost estimate for implementation of big data test platform on Azure Cloud with defined number of master nodes and worker nodes

  • Proposal for development of the solution design for a hybrid training platform

  • Evaluation, cost estimation and selection of suitable technological solutions

  • Presentation of the Azure Dev Cluster solution to all the stakeholders

Azure Datalake Hybrid platform design Azure Cost Analysis Python
Telefonica
9 Monate
2020-06 - 2021-02

Design and Create a Big Data platform

Bigdata developer and architect and database architect Azure data factory Databricks Azure function ...
Bigdata developer and architect and database architect
  • Design and Create a Big Data platform (Customer Analytics Engine)

  • Implemented pipelines and infrastructure on big data platform, design and implement ETL processes, create demos, reports and documentation.

  • Developed automation of applications and perform Production deployments.

  • Monitoring and logging design, process monitoring implementation.

  • Built Architecture diagrams

Azure data factory Databricks Azure function Spark Python
BMW
4 Jahre 3 Monate
2015-05 - 2019-07

Lectureship

Teaching assistant in Business informatics group
Teaching assistant in Business informatics group

Courses

  • Business Process Modeling (BPM): 2018 - 2019

  • Business Process Modeling (BPM): 2017 - 2018

  • Knowledge Discovery/ Data Mining: 2016 - 2017

  • E-Business Strategy: 2015 - 2016

  • Business Information Systems: 2015 - 2016

Hasselt University, Hasselt, Belgium
4 Jahre 3 Monate
2015-05 - 2019-07

Application of data analytics techniques in auditing

Researcher in business processes and artificial intelligence Prom Disco Lana lab ...
Researcher in business processes and artificial intelligence

Both qualitative and quantitative approaches

  • Define high level categories for deviations in a continuous auditing context

  • Design deviation detection tool for auditing using process conformance checking technique

  • Design and implement deviation classification tool using sequence mining and frequent item set mining

Prom Disco Lana lab Celonis Java R Python Weka Nvivo Excel Tex
Hasselt University, Hasselt, Belgium
3 Monate
2018-07 - 2018-09

Accounting Information Systems

Researcher in both school of computer science and accounting information system department Java Disco Prom ...
Researcher in both school of computer science and accounting information system department
  • Designing process conformance checking toolkit for internal control

  • Team working towards developing a comprehensive process analysis tool

  • Presenting process mining qualitative and quantitative research outputs in workshops

Java Disco Prom R Python Matlab
The university of Melbourne, Australia
2 Jahre 1 Monat
2011-09 - 2013-09

Application of active Learning techniques in Spatial Information Extraction

Researcher in artificial intelligence and data mining Java Weka Matlab ...
Researcher in artificial intelligence and data mining

Research method: Quantitative approach

  • Test and evaluate several active learning algorithms on various criteria such as uncertainty over sequence tagging, uncertainty of the roles, entropy, etc.

  • Introduce and evaluate a novel active learning strategy for the spatial role labeling task: Active learning based on structured output constraints

Java Weka Matlab R Python
KU Leuven University, Leuven, Belgium
4 Jahre 8 Monate
2005-04 - 2009-11

Operating, troubleshooting and maintenance

Senior telecom engineer and BSC team leader Reflection HIT MML ...
Senior telecom engineer and BSC team leader
  • Operating, troubleshooting and maintenance of 14 Shiraz Base Station Centers (BSCs) in six different locations with more than 490 BTS sites

  • Technical Leadership of the BSC team

  • Performing Nokia BTS definition in BSC using tools such as Reflection/ HIT

  • Logging and monitoring Nokia BSC alarm and fault handling using MML and NED

  • Running Diagnosis for Nokia, Siemens and Huawei BSC units and Transcoder modules

  • Upgrading capacity of BSCs via BTS site creation and TRX and TCSM creation

  • Rehoming Nokia, Siemens and Huawei BSCs inter or intra MSC

  • Creation of GPRS/EGPRS service on BSCs and BTS sites

Reflection HIT MML NED MS Office Visual Basic
Mobile Communication Company of Iran (MCI), Shiraz

Aus- und Weiterbildung

Aus- und Weiterbildung

2019

Promotion - Business Intelligence

Hasselt University, Belgium

Degree: PhD

2013

Study - Artificial Intelligence

KU Lueven University, Belgium

Degree: Master of Science

2004

Study - Software Engineering

Shiraz University

Degree: Master of Science

Position

Position

Bigdata and Process mining scientist, Cloud architect

Kompetenzen

Kompetenzen

Top-Skills

Artificial intelligence machine learning on premise / edge / cloud process mining Text Mining data mining java Azure MS Azure SQL Database R Python Cloud

Schwerpunkte

  • Cross-layer artificial intelligence and machine learning on premise / edge / cloud

  • Public and Private cloud system architecture

  • Diverse technologies: Hadoop, Azure databricks, R, Python, Java, NoSQL, SQL, Deep learning, NLP and document text mining, process mining tools

  • Predictive and prescriptive modelling

  • Senior researcher in applications of artificial intelligence

  • Cross-industry experience: Logistics and retails, Automotive, Finance, Telecommunication, Transportation

  • Proposals, Pricing, Contracts, Negotiation

  • Presentation: Webinar, workshop, conference

  • Product, Project management (PMP, Scrum)

  • Colaborative leadership

Coaching, training and team building

Produkte / Standards / Erfahrungen / Methoden

Techncal Skills

  • Azure data lake, Data factory, Azure DevOps, Log Analytics, Databricks

  • Cloud infrastructure and resource deployment

  • Azure Cloud design, implementation, and project management

  • DevOps, Application development

  • Big data architecture

  • R, Python, Matlab, applying machine learning techniques

  • JAVA, J2EE, XML, HTML

  • MySQL, PostgreSQL, Access, SQL Server

Process Analysis

  • Disco, Prom, Celonis, Lanalab

  • Process modeling

  • Data modeling

Branchen

Branchen

  • Telecommunication

  • Transportation

  • Education

  • Research and development

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