Reda Merzouki

Solutions Architect at InterCloud
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Contact Information
us****@****om
(386) 825-5501
Languages
  • French Native or bilingual proficiency
  • English Full professional proficiency
  • Arabic Native or bilingual proficiency
  • Spanish Elementary proficiency

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Pramod Daya

Reda has a deep understanding and passion for data science concepts. He is proficient in not only applying the depth of Analytical and Machine Learning knowledge he has but also in explaining key concept in a way which is understandable to all business stakeholder. Reda is a great and valuable asset to have in todays world where understanding data ad trends is the key to business success.

Kawar Akbari

Reda is a great colleague. I worked with him at SIEMENS MindSphere in the same team. We worked on common cloud solutions for our customers and partners. Reda is an amazing personality that is able to collaborate with anyone at ease and build success with that. I really enjoyed working with Reda. He has exceptional capabilities when it comes to details and can articulate his thought process seamlessly. He is a great data scientist and has outstanding knowledge in Python. Reda has a very high technical and business experience. Reda is team and customer oriented solution architect and always delivered great solutions on time. Given any time in the future, I would love to work with Reda again.

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Credentials

  • Time Series : Apply machine learning to real-world forecasting tasks.
    Kaggle
    Nov, 2021
    - Sep, 2024
  • Deep Learning Specialization (Score : 100%)
    DeepLearning.AI
    Oct, 2020
    - Sep, 2024
  • Deepl Learning Specialization - Sequence Models (Score : 100%)
    Coursera
    Oct, 2020
    - Sep, 2024
  • Deep Learning Specialization - Structuring Machine Learning Projects (Score : 100%)
    Coursera
    Jul, 2020
    - Sep, 2024
  • Deep Learning Specialization - Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization (Score : 100%)
    Coursera
    May, 2020
    - Sep, 2024
  • Deep Learning Specialization - Neural Networks and Deep Learning (Score : 100%)
    Coursera
    Apr, 2020
    - Sep, 2024
  • Deep Learning Specialization - Convolutional Neural Networks (Score : 100%)
    Coursera
    Mar, 2020
    - Sep, 2024
  • AWS Essentials
    Linux Academy
    Apr, 2019
    - Sep, 2024
  • Machine Learning - Stanford University (Score : 98.4%)
    Stanford University
    Jan, 2018
    - Sep, 2024
  • DAT210x: Programming with Python for Data Science (Score : 94%)
    Microsoft
    May, 2017
    - Sep, 2024
  • MOOC : Fondamentaux pour le Big Data / Maths Foundations for Big Data (ref : 04006S04, Score : 98%)
    Institut Mines-Télécom
    Jun, 2016
    - Sep, 2024
  • Lean Six Sigma Transactional Green Belt
    ACSA / BRITISH STANDARDS INSTITUTION
    Mar, 2012
    - Sep, 2024
  • Apache Spark Essential Training
    LinkedIn
  • GitHub for Data Scientists
    LinkedIn
  • Learning Cloud Computing: Core Concepts
    LinkedIn
  • Learning Docker
    LinkedIn
  • MindSphere MindConnect API
    Siemens Digital Industries Software
  • MindSphere MindConnect Integration
    Siemens Digital Industries Software
  • MindSphere MindConnect IoT Extension
    Siemens Digital Industries Software
  • MindSphere MindConnect LIB
    Siemens Digital Industries Software
  • SQL Essential Training
    LinkedIn
  • Statistics Foundations: Probability
    LinkedIn

Experience

  • InterCloud
    • France
    • Computer Networking Products
    • 1 - 100 Employee
    • Solutions Architect
      • Apr 2022 - Present

      Enabling customer’s digital transformation with SDCI capabilities.Simplifying our customers' connectivity to all CSPs: AWS, Azure, GCP...InterCloud is a leading provider of Software-Defined Cloud Interconnect (SDCI), providing secure, end-to-end, managed services. InterCloud’s API-centered platform helps businesses simplify and accelerate network operation, with a high level of performance and transparency for corporate resources distributed across multiple locations and different cloud providers. As a premium partner to the major cloud service providers – including AWS, Microsoft, IBM, and Google Cloud – InterCloud delivers optimal connectivity solutions.

  • Machine Learning
    • Design
    • Machine Learning Writer
      • Mar 2021 - Present

      path to my articles : https://reda-merzouki1203.medium.com/ path to my articles : https://reda-merzouki1203.medium.com/

  • Siemens Digital Industries Software
    • United States
    • Software Development
    • 700 & Above Employee
    • Senior Presales Solutions Architect & Data Scientist at Siemens Digital Industries Software
      • Sep 2018 - Apr 2022

      MindSphere is the cloud-based, open IoT operating system from Siemens that connects your products, plants, systems, and machines, enabling you to harness the wealth of data generated by the Internet of Things (IoT) with advanced analytics.With data analytics, connectivity capabilities, tools for developers, applications and services, MindSphere helps companies exploit the full potential of their data and transform it into measurable business success.Helping customers and partners ecosystem to build IoT solutions and drive digital innovation based on MindSphere components.- Delivering Machine Learning POCs to customers (based on MindSphere Predictive Learning framework).- Designing Solutions Architectures. - Leading technical enablement and solution workshops for partners and customers.- Delivering technical webinars about MindSphere analytics APIs and predictive learning components.- Building demos leveraging MindSphere APIs.- Contributing in proposals, RFPs, RFIs, RFQs.- Mapping customers and partners requirements onto MindSphere components and APIs.- Mentoring developers during Hackathons.- Coding dojo: enabling developers to build MVP based on MindSphere bricks.- Delivering Machine Learning enablement sessions to Global Partner Solution Architects community.

  • RAI LIGHT
    • India
    • Appliances, Electrical, and Electronics Manufacturing
    • Founder & Senior Data Scientist at RAI LIGHT
      • Oct 2017 - Sep 2018

      Data Science Consultant for Inserm (Public Scientific and Technological Institute for health and Research).- Analysis of millions of flow cytometry data of the dermatomyositis biomarkers (fcs files).- Patterns discovering and labeling with unsupervised learning.- Development of a machine learning application that analyses and classifies samples of multiple cell.

    • Data Scientist
      • Sep 2016 - Oct 2017

      Data Analysis, Machine Learning Algorithms, Development of AI applicationsDevelopment of an AI application for Breast Cancer Diagnosis based on a Random Forest model(https://www.rai-light.com)Logistic Regression with Ridge Regularization for Breast Cancer Diagnosis.Breast Cancer Signature with RNA genetic markers in high-dimensional space : features selection with a Random Forest.Among case studies performed over the period of October 2016 to November 2017 :- Unsupervised learning for audio classification (KMeans, GMM).- Support Vector Regression for Housing Price prediction.- Deep learning for images classification.- Support Vector Classification for faces classification.- KNN for Digits classification .- Bayesian and SVM classifiers for text classification (newsgroups posts).- NoSQL models for Recommendation engine (MongoDB, Cassandra and Neo4J).- Graph mining and distributed computation.

  • Verizon
    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Carrier Relations Manager
      • Jan 2004 - Jun 2016

      Major Achievement : More than 50 M€ of Savings over the period of 2004 to 2016.Data and Voice Carrier Relation Manager at Verizon- Data Analysis: Invoices of millions of data and traffic statistics.- Negotiation of voice interconnect & access circuits.- Negotiation of Hosting / Data Centers agreements with providers.- Project Management: network engineering, deployment and migration. - Financial and technical assessment of line/network costs reduction projects.- Local switches capacity deployment and/or Optimization programs.- Line costs monitoring.- Support to Verizon’s regulatory actions.- Design/development of the interconnect reference offer of Verizon.- Subject Matter Expert in Lean Six Sigma.- Digital Transformation: Leading the development of the portability ordering system.

    • Manager, Network Planning & Optimisation France
      • Dec 2002 - Dec 2003

      Management of 4 skilled telecom senior engineers.Interconnect voice architecture with France Telecom (155 POI) and National Carriers : sizing, optimisation & design proposals.Project management: planning of the resources, design proposals & coordination.Capacity management: Switch, Transmission, IP & Data.Capacity analysis & reporting on a monthly basis.Budget Management.

    • Interconnect Project Manager
      • Jun 2000 - Nov 2002

      Coordination of Interconnect Projects: France Telecom, Other Carriers & Worldcom internal interconnections.Sizing of interconnection capacity: Costs & Customers oriented.Design of interconnections architectures.Handling of a weekly Voice Capacity Planning Meeting in order to report/co-ordinate the realizations and to anticipate needs in terms of interconnect capacity.Control of the network capacity through weekly traffic statistics and Business Units forecasts.

    • Switched Voice Engineer
      • Apr 1999 - May 2000

      Co-ordination of the Interconnections to the 18 Areas of France Telecom in France (Transit Zones) in order to provide a National Voice Coverage to MCI Worldcom by the end of the year 1999.Elaboration of circuits plans (SRA) in order to perform the configuration/databuild of the interconnect C7 trunks in our switches.Development of a ZABPQ national prefix database: realization of audits on switch tables, generation of command files.Number management: in charge of attributions/control of MCI Worldcom geographic numbers resources.

  • Vinci Energies
    • France
    • Information Technology & Services
    • 700 & Above Employee
    • Project Manager
      • Apr 1997 - Apr 1999

      Co-ordination of the TETRA Base Stations integration project for Dolphin Telecom. Reporting of the project progress to Dolphin Telecom.Elaboration of the Vinci Energies (formerly GTIE) Global Offer to Dolphin Telecom for TETRA Base Stations national deployment (Professional Mobile Radio).Realization of technical and cost detailed studies for GSM/DCS base stations deployment of SFR, France Telecom Mobiles and Bouygues Telecom.Audit & Optimization of SFR base stations.

Education

  • Télécom Paris
    Post Master's degree Data Scientist, Data Science, Mathematics, Machine Learning & Deep Learning Algorithms.
    2016 - 2017
  • ESME-Sudria | Ecole spéciale Mécanique et Electricité
    Ingénieur (Master), Networks & Telecommunications
    1995 - 1997
  • University of Lille 1 Sciences and Technology
    Master, Electronics Electrical Engineering & Automation
    1990 - 1995
  • University of Lille 1 Sciences and Technology
    DEUG, Mathematics
    1990 - 1992
  • Université Laval
    Electrical and Electronics Engineering Project
    1996 - 1996
  • Lycée Paul Valéry Meknès Maroc
    -

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