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Hi there , I'm Berlian M.!

๐Ÿง‘โ€๐Ÿ’ป About Me

I am a data scientist with a recently graduated Bachelor's degree in Informatics, focused on developing data-driven solutions ๐Ÿ“ˆ with proficiency in programming and deep analysis ๐Ÿ“Š. I have extensive experience in using programming tools and libraries such as TensorFlow, Keras, and various AI ๐Ÿง  and machine learning related technologies. I have successfully developed and implemented various projects, including data analysis, prediction, and classification models. I also have expertise in creative and functional UI/UX design, designing engaging interfaces for users.

๐Ÿ“š Knowledge and Study

  • Programming and Data Analysis: Proficient in Python ๐Ÿ, data processing, and data visualization ๐Ÿ“Š.
  • Machine Learning: Experience in building amachine learning and deep learning models using TensorFlow ๐Ÿง  and Keras โš™๏ธ.
  • Big Data and Business Intelligence: Currently studying and developing expertise in Big Data ๐Ÿ’พ and Business Intelligence technologies ๐Ÿ“ˆ.
  • Reinforcement Learning: Experience in applying reinforcement learning algorithms for problem solving ๐ŸŽฎ.

๐Ÿ“ˆ Professional Development

I keep up to date with the latest developments in data science and technology, actively participating in online communities to expand my professional network ๐ŸŒ. I have a strong desire to innovate and keep learning, ready to contribute to challenging projects ๐Ÿš€. I am enthusiastic about working in a collaborative team, with the aim of utilizing my technical and analytical skills to achieve optimal results ๐Ÿ†.

๐Ÿ“š Current Focus

I am currently focusing on learning more about Software Engineering ๐Ÿ–ฅ๏ธ to complement my understanding in the development of technology solutions. I am seeking professional employment opportunities worldwide ๐ŸŒ, to be able to contribute in a dynamic and innovative environment.

๐Ÿ”— Contact Me

๐Ÿ“Š GitHub Stats

๐Ÿ’ป Programming Tools

Python Colab Pycharm VSCode C++ Netbeans JavaScript HTML5 CSS3 Laravel MySQL Flutter

๐Ÿ“– GitHub Readme


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