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Hi there , I'm Jensen 👋

I'm managing two software companies, and and identify as a Product Leader, with 10+ years of product management experience, from the ☀️🏖️of 🇸🇬. I am currently working @ Success IT & One Logis rocket-ships that are innovating at the enterprise resource planning software development space. Please reach out to me for chat on anything product related, SAAS, or more about our Cloud-native stack!

📓 I'm learning

  • How to build SAAS products
  • Deep diving in cloud and data architecture

📨 Contact

Linkedin    Gmail   

👣 Things i think i'm good at ..

  • Software, Data & ☁️ Architecture
  • Product Management
  • Product Lead Growth
  • SAAS, Cloud Computing and Networking

🧳 My memories ..

  • DBS Bank
  • Amazon
  • Temasek
  • Ant Group

🧾 Certifications

  • SC-900: Microsoft Security Fundamentals Bootcamp
  • Foundations in AI - by AI Singapore
  • Python for Analytics - by Coursera, eDx, datacamp
  • Financial Modeling - by AMT

My Technical Blog Posts

Jensen's GitHub stats

Jensen Loke's Projects

ai4i icon ai4i

weblink to program: https://www.aisingapore.org/talentdevelopment/ai4i/

covidsg_sti icon covidsg_sti

My Early Analysis of STI vs Covid SG data (Courtesy of Chua Hui Xiang at Dataworld): https://data.world/hxchua/covid-19-singapore

netninjas_nodejs icon netninjas_nodejs

https://www.youtube.com/watch?v=w-7RQ46RgxU&list=PL4cUxeGkcC9gcy9lrvMJ75z9maRw4byYp

pandas icon pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

python-project-pillow-tesseract-opencv icon python-project-pillow-tesseract-opencv

This course will walk you through a hands-on project suitable for a portfolio. You will be introduced to third-party APIs and will be shown how to manipulate images using the Python imaging library (pillow), how to apply optical character recognition to images to recognize text (tesseract and py-tesseract), and how to identify faces in images using the popular opencv library. By the end of the course you will have worked with three different libraries available for Python 3 to create a real-world data-analysis project. The course is best-suited for learners who have taken the first four courses of the Python 3 Programming Specialization. Learners who already have Python programming skills but want to practice with a hands-on, real-world data-analysis project can also benefit from this course. This is the fifth and final course in the Python 3 Programming Specialization.

todolist icon todolist

https://www.youtube.com/watch?v=w-7RQ46RgxU&list=PL4cUxeGkcC9gcy9lrvMJ75z9maRw4byYp

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