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
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
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
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
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
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
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
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
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
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
Bigdata and Process mining scientist, Cloud architect
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
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
PEER-REVIEWED PUBLICATIONS, TALKS (more informations on request)
Profile
Working as a senior consultant at EDEKA DIGITAL. Worked as a bigdata scientist and cloud analyst at CGI Consulting on BMW and Telefonica projects, Germany. Many years of industrial experience in different areas of data science and engineering, systems architecture, big data and cloud platform design and Implementation in different german companies Over 5 years of project management and team leading experience. specialist in Process Mining techniques such as business process discovery, conformance checking techniques and process enhancement. several years in research and development sector, in process mining, data mining and artificial intelligence fields experience working in universities and research institutes such as business intelligence lab in Hasselt university, artificial intelligence lab in KU Leuven university, and the school of computer and information system in the university of Melbourne.
Telecommunication
Transportation
Education
Research and development
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
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
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
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
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
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
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
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
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
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
Bigdata and Process mining scientist, Cloud architect
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
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
PEER-REVIEWED PUBLICATIONS, TALKS (more informations on request)
Profile
Working as a senior consultant at EDEKA DIGITAL. Worked as a bigdata scientist and cloud analyst at CGI Consulting on BMW and Telefonica projects, Germany. Many years of industrial experience in different areas of data science and engineering, systems architecture, big data and cloud platform design and Implementation in different german companies Over 5 years of project management and team leading experience. specialist in Process Mining techniques such as business process discovery, conformance checking techniques and process enhancement. several years in research and development sector, in process mining, data mining and artificial intelligence fields experience working in universities and research institutes such as business intelligence lab in Hasselt university, artificial intelligence lab in KU Leuven university, and the school of computer and information system in the university of Melbourne.
Telecommunication
Transportation
Education
Research and development