,
I'm Berlian Muhammad
I am
About Me
I am a passionate data scientist with a Bachelor's degree in Informatics and extensive experience in data processing, data analysis, and machine learning. I am proficient in using various programming tools to develop innovative data-driven solutions. In my various projects, I have successfully implemented prediction, data analysis, and classification models that have made a real impact. As a detail-oriented individual, I also have expertise in UI/UX design, with experience creating interfaces that are not only functional but also visually appealing. Strong analytical skills and problem-solving abilities have helped me provide effective solutions to complex technical challenges.
I keep up to date with the latest developments in the world of data science and technology through continuous learning and active participation in professional communities. With a dedication to innovation and collaboration, I am ready to contribute to challenging projects that require technical and analytical expertise. I believe that working in a dynamic and collaborative team will maximize my potential in supporting the achievement of organizational goals. I am excited to join an organization that provides room to grow and develop while making a real impact through the use of data science. Let's work together to create inspiring and sustainable solutions.
Education is the key to unlocking the world wide open, leading us to limitless potential.
Telkom University, Bandung, West Java, Indonesia
SMA N 1 Tegal, Tegal, Central Java, Indonesia
Every project we create is an opportunity to learn, grow, and turn challenges into valuable experiences.
Every life experience, internship and job is a step forward that shapes our success and hones our skills.
Jul 2024 - Present
Aug 2024 - Present
May 2023 - Present
Oct 2022 - Present
Jul 2023 - Oct 2023
While the achievements are a reflection of dedication and hard work, they are just the beginning of a long journey towards deeper mastery and wisdom.
The research entitled Movie Recommendation System Based on Tweets Using Switching Hybrid Filtering with Recurrent Neural Network was successfully published in a Scopus Q2 indexed journal. The research journal was published in the International Journal of Intelligent Engineering and Systems (IJIES) with an acceptance rate of 14.1%. This achievement is the result of our hard work and dedication who have spent months conducting in-depth research and meticulous manuscript writing. This research focuses on innovations in movie recommendation systems using the Switching Hybrid Filtering approach and Deep Learning Recurrent Neural Network algorithms, successfully attracting the reviewers' attention with significant contributions to the development of science in the field. We hope that the results of this research can contribute a positive impact in the application of technology and become the basis for further research in the future.
