Dr. Bahram Moobed

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Freiberuflich, Consultant (interim CTO), Doppelzahn.de

Germany

About me

* Freelancer, Consultant (interim CTO), Doppelzahn.de * Until 2020, Chief of Data Science and Platform Architecture, Disruptive Knowledge Platform Project * Until 2015, R&D Director, Rayonnance (Econocom), Paris * Until 2012, CTO and R&D Director, MegaForce IT, Dusseldorf * Until 2004, IT Director and Head of Analytics, Pizza Hut Switzerland, Geneva + PhD Computer Science & Machine Learning + MSc & Engineering Degree in Computer Science & Engineering + Multilingual: English, French, German + Long and extensive experience, in France, Switzerland, Germany, Canada and China. ** Extensive expertise in the following domains: o Machine Learning, Deep Learning, AI o Data Engineering, Big Data, AI on Cloud platforms o Business Process Analysis and Optimization o Natural Language Processing (NLP), Text mining o Intelligent Transport Systems (ITS) o Mobile Workforce's Analytics, Telematics o Bayesian Methods, Causal Inference o Data Governance, Data Ethics, Data Privacy, Data Security

Skills

Data Science
Data Engineering
Leadership
Natural Language Processing (NLP)
Business Process Mining
Business Intelligence
Project Management
Team Building
Team work
Communication Skills
Python
MatLab
Data-Mining
Knowledge management
Business Analytics
Technical Mentoring
Creativity
R
SQL
NoSQL
GraphQL
Azure
Spark
Kafka
Keras
Tensorflow
Docker
Workflow Mining
Team leadership
Recommender Systems
ML Ranking
Text Mining
Semantic Web
Data Quality Management
Data Ethics
PyTorch
Power BI
Tableau
Knowledge Aggregation
JavaScript
SignalR
Xamarin
DevOps
C#
Consulting
C++
Deep learning
Intelligent Transport Systems (ITS)
Big Data
Mentoring
Analytics
Natural language processing
Digital transformation
Agile Methods
Decision support systems
Predictive Analytics
Management Information Systems
Business Process Modelling
Business Process Management
Data Mobility Management
Data mining
Software Development
System Architecture
Mobile business intelligence
Microservices
Data Visualization
Mobile apps
Mobile workforce
Enterprise Knowledge Management (EKM)
Mathematical optimisation
Risk Modelling
Strategy and Forecasting
Data Fusion
Data engineering
Neural Networks
Bayesian Methods
Explainable AI
Actionable Analytics
Data Storytelling
Cloud Computing
AutoML
GIS
Kubernetes
Apache Kafka
Mobile Device Management
ReactiveX
Remote Management
Performance Management

Timeline

Professional experience for Bahram Moobed

  • Current 2 years and 11 months, since Mar 2020

    Consultant (interim CTO)

    Doppelzahn.de

    • Technical and scientific leading for design and development of an AI-based system of Mining & Optimisation of Business Processes, Workflows, and Communication in medical domain. • This system increases enormously the efficiency of workflows and communication in medical domains, specially those involving several actors (most of the workflows!) • Design and building from ground up of a cloud-based computing platform for the above system using the principles of DataOps and MLOps

  • 4 years and 2 months, 2016 - Feb 2020

    Chief of Data Science and Platform Architecture

    Disruptive Knowledge Platform Project

    ***Design of a new disruptive knowledge management platform, with a unified theoretical and practical framework for structuring, storing and handling of knowledge, information and data using ML/AI ***Design of a distributed belief metrics platform based on a new paradigm, with a big impact on Recommender Systems, ML ranking and similar systems ***Design of a distributed ML/AI-based knowledge aggregation platform

  • 3 years and 3 months, Oct 2012 - Dec 2015

    R&D Director

    Rayonnance (Econocom), Paris

    • R&D for various data-driven enterprise business solutions for mobile workforce (external or internal mobility) with real-time monitoring metrics and dashboards, both for mobile workforce and the management, in domains including: Logistics, Construction site supervision, Retail, Technical maintenance, Sales force, Quality control, Audit, Transportation • R&D for an automated mobile data-acquisition app generation system, and an Enterprise mobility management system for mobile workforce analytics

  • 2005 - 2012

    CTO and R&D Director

    MegaForce IT, Dusseldorf

    Application of Analytics and real-time data in projects of ITS: •Truck-fleet data-driven dispatching, scheduling and monitoring (fuel consumption, cold chain) with considerable impact on fuel and staff costs, delivery times and performance •Real-time traffic analysis by analyzing vehicles' data and road sensors' data; using it for Realtime navigation •Realtime city-bus management and monitoring •Real time Taxi-fleet management •Connected device to analyze driving behavior for insurance companies

  • 1999 - 2004

    IT Director and Head of Analytics

    Pizza Hut Switzerland, Geneva

    •Design and realization of a system for the digitalization, automation and optimization of data flows in all units and the central office: from order-taking, up to real-time flow of data to central office; with real-time metrics and KPIs for monitoring and management •A data-driven decision support system with a big impact on: costs, waste, customer satisfaction, performance of marketing plans, promotions, pricing, staff scheduling •Marketing-mix attribution, Market basket analysis, Behavioral modeling

  • 1998 - 1998

    IT and Business Analytics Consultant

    Pizza Hut Switzerland, Geneva

    •Complete business-process analysis in the entire organization •Propositions for BI/Analytics strategy of the organization and the usage of ML for the metrics and estimations used in decision-makings and optimizations. These propositions were implemented later with a remarkable impact on the financial results as well as the customers’ and staff’s satisfaction.

  • 1997 - 1997

    Post-doctoral Researcher

    ETS, Montreal

Educational background for Bahram Moobed

  • 2001 - 2004

    Business and Economics for Scientists and Engineers

    Hagen Distance-Learning University, Germany

  • 1992 - 1996

    PhD Computer Science & Machine Learning

    École Polytechnique of Paris & Paris-Orsay University, France

    Thesis domains: Machine Learning, Data Fusion, Neural Networks, Bayesian Methods, Mathematical bases of Information and knowledge aggregation, Statistical decision-making

  • 1990 - 1991

    MSc Computer Science

    Paris-Orsay University, France

    Thesis domains: Neural Networks, Pattern Recognition, Classification

Languages

  • English

    Fluent

  • German

    Fluent

  • French

    First language

Wants

Learning New Concepts
Finding Challenging Problems

Interests

Reading
Psychology
Ethics
Logical thinking
Permanent Learning

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