Than Win

Than Win

Sr. ICT Manager

Followers of Than Win2000 followers
location of Than WinChiang Mai, Thailand

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  • Timeline

  • About me

    Data Scientist at Private

  • Education

    • Ericsson Academy

      2017 - 2017
      SDN & NFV Essential Training Computer Systems Networking and Telecommunications 100%

      Activities and Societies: 1. SDN Market Drivers 2. SDN Basics 3. NFV Basics 4. Ericsson SP-SDN Key Selling Points 5. SDN Architecture 6. SDN Protocols & APIs 7. SDN Cloud Fundamentals Architecture 8. NFV Fundamentals Architecture Online Certificates of completion for 8 modules.

    • Ericsson Academy

      2017 - 2017
      Cloud SDN Technical Essential Computer Systems Networking and Telecommunications 100%

      Activities and Societies: 1. Introduction to Neutron 2. Introduction to IAAS 3. Introduction to Data Centre Networking 4. Data Center Architecture 5. Cloud SDN - Cloud SDN Controller 6. Cloud SDN - Cloud SDN Switch 7. Ericsson HDS Networking 8. vEGW Overview 9. vEGW Traffic Flow 10. vEGW Deployment Scenarios Online Certificates of completion for 10 modules.

    • Ericsson Academy

      2017 - 2017
      Cloud SDN Sales Essential Computer Systems Networking and Telecommunications 100%

      Activities and Societies: 1. The NFV Ecosystem in Standardization and Opensource 2. Cloud Execution Environment Roadmap and early development experiences 3. OPNFV Update 4. State of the Business - SDN 5. Data Center Networking 6. Dynamic Service Chaining Use Cases & Role of SDN in NFV Operations 7. Cloud Management 8. Virtual Enterprise Gateway 9. Gears inside Transport SDN Controller Online Certificates of completion for 9 modules.

    • Ericsson Academy

      2016 - 2017
      SDN Technical Essential Computer Systems Networking and Telecommunications 100%

      Activities and Societies: 1. SDN Basics 2. SDN Architecture 3. Ericsson SDN Controller and OpenDayLight 4. SDN Fundamentals OpenFlow 5. NFV Basics 6. NFV Fundamentals and Architecture 7. SDN Fundamentals Virtual Home Gateway 8. SDN Fuandamentals Service Chaining and Use Cases 9. SDN Use Cases Virtual Enterprise Gateway 10. SDN Cloud Fundamentals Achitecture 11. SDN Enabled NFV Network 12. Service Provider SDN Lessons Learnt and Evolution 13. SDN Fundamentals Virtual Home Gateway - Detail 14. SDN Protocols & APIs Online Certificates of completion for 14 modules.

    • Ericsson Academy

      2016 - 2016
      Cloud Computing for Business Professionals Computer Systems Networking and Telecommunications 100%

      Activities and Societies: 1. Introducing Cloud Computing 2. Moving Business Services into the Cloud Online Certificates of completion for two modules.

    • Ericsson Academy

      2016 - 2016
      Cloud Computing for IT Professionals Computer Systems Networking and Telecommunications 100%

      Activities and Societies: 1. Cloud Computing Basics 2. Cloud Technology Enablers 3. Enterprise Data and Cloud Interaction 4. Migrating Infrastructure to the Cloud 5. Identity, Presence and Privacy 6. Providing Cloud Security Online Certificates of completion for six modules.

    • Ericsson Academy

      2016 - 2016
      Cloud Fundamentals Computer Systems Networking and Telecommunications 100%

      Activities and Societies: 1. What is the Cloud ? 2. Digital Industrialization 3. Analytics for Enterprises Algorithms search and index data 4. Security in the Cloud 5. Virtualization Containers Hypervisors and multitenancy 6. Network Functions Virtualization and the ETSI NFV Architecture 7. Openstack 8. The Ericsson Architecture Training Program Cloud Details PaaS 9. The Ericsson Architecture Training Program Cloud Details IaaS Online Certificates of Completion for nine modules

    • ASEAN Engineering Register

      2013 - 2013
      Bachelor of Engineering (BE) Electrical, Electronics and Communications Engineering AER No. 5101

      http://aer.afeo.org/

    • UNDP LAN Manager Training

      2001 - 2001
      Certificate Information Technology

      Activities and Societies: Email Server Installation, maintenance and troubleshooting.

    • Yangon Technoligical University

      1993 - 1998
      Bachelor of Engineering (BEng) Electrical, Electronics and Communications Engineering

      B.E (Electronics)

    • Myanmar Institute of Oriental Studies

      2021 - 2034
      Master of Arts in Pali and Buddhist Studies Language
    • Myanmar Institute of Oriental Studies

      2021 - 2034
      Master of Arts in Pali and Buddhist Studies Language
    • Myanmar Institute of Oriental Studies

      2021 - 2034
      Master of Arts in Pali and Buddhist Studies Language
    • Myanmar Institute of Oriental Studies

      2021 - 2024
      Master of Arts in Pali and Buddhist Studies Language
    • The Johns Hopkins University

      2015 - 2015
      Https://www.coursera.org/course/getdata Getting and Cleaning Data 93.0%

      Activities and Societies: Has successfully completed the Johns Hopkins University's Offering of Getting and Cleaning Data This course covers obtaining data from the web, APIs, databases, and colleagues in various formats, as well as the basics of cleaning and "tidying" data. It also covers the components of a complete data set: raw data, processing instructions, codebooks, & processed data.

    • The Johns Hopkins University

      2015 - 2015
      Https://www.coursera.org/course/regmods Regression Models 97.0%

      Activities and Societies: Has successfully completed the Johns Hopkins University's offering of Regression Models This course covers how to fit regression models, interpret coefficients and investigate residuals and variability. Students also learn to use dummy variables, multivariable adjustment,and extensions to generalized linear models, especially Poisson and logistic regression.

    • The Johns Hopkins University

      2015 - 2015
      Https://www.coursera.org/course/rprog R Programming 82.8%

      Activities and Societies: Has successfully completed the Johns Hopkins University's Offering of R Programming This course covers how to use & program in R for effective data analysis. It covers practical issues in statistical computing: programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, & organizing and commenting R code.

    • The Johns Hopkins University

      2015 - 2015
      Https://www.coursera.org/course/datascitoolbox The Data Scientist's Toolbox 100.0%

      Activities and Societies: Has successfully completed the Johns Hopkins University's Offering of The Data Scientist's Toolbox Overview of the data, questions, & tools that data analysts & scientists work with. It is a conceptual introduction to the ideas behind turning data into knowledge as well as a practical introduction to tools like version control, markdown, git, GitHub, R, and RStudio.

    • The Johns Hopkins University

      2015 - 2015
      Https://www.coursera.org/course/exdata Exploratory Data Analysis 100.0%

      Activities and Societies: Has successfully completed the Johns Hopkins University's Offering of Exploratory Data Analysis Covers exploratory data stigmatization techniques that are applied before modeling to inform development of complex models. Topics include plotting in R, principles of constructing graphics, and common multivariate techniques used for high-dimensional data visualization.

    • The Johns Hopkins University

      2015 - 2015
      Https://www.coursera.org/course/repdata Reproducible Research 91.0%

      Activities and Societies: Has successfully completed the Johns Hopkins University's Offering of Reproducible Research This course covers how to write a document using R markdown, integrate live R code into a literate statistical program, compile R markdown documents using knitr and related tools, and organize a data analysis so that it is reproducible and accessible to others.

    • The Johns Hopkins University

      2015 - 2015
      Https://www.coursera.org/course/statinference Statistical Inference 100.0%

      Activities and Societies: Has successfully completed the Johns Hopkins University offering of Statistical Inference. Students receive a broad overview of the goals, assumptions, and modes of statistical inference. Successful students can perform inferential tasks in highly targeted settings and are able to use the skills developed for more complex inferential challenges.

  • Experience

    • PSI Myanmar

      Nov 2005 - Aug 2013
      Sr. ICT Manager
    • ILO Myanmar

      Dec 2005 - Apr 2013
      Par-time LAN Manager
    • PGMF

      Sept 2013 - Jun 2016
      ICT Manager
    • Ericsson

      Jul 2016 - Nov 2018
      MS Operation Assurance Manager
    • Self-employed

      Nov 2018 - Jan 2019
      Data Scientist
    • Ooredoo Myanmar

      Jan 2019 - Jun 2019
      Quality and Performance Manager
    • Private

      Jul 2019 - now
      Data Scientist
  • Licenses & Certifications

  • Volunteer Experience

    • UNV LAN Manager

      Issued by UNDP East Timor
      UNDP East TimorAssociated with Than Win