About
Machine Learning Engineer.
As a Machine Learning Enthusiast I am driven to harness the power of data to build intelligent solutions. My expertise spans from developing predictive models and optimizing algorithms to leveraging deep learning techniques for real-world applications. I enjoy transforming complex data into actionable insights and continuously exploring cutting-edge AI technologies to push the boundaries of innovation. With a focus on solving problems through automation and intelligent systems, I aim to make a meaningful impact across various industries.
- Machine Learning: Python(eg, Scikit-learn, Numpy, Pandas, Matplotlib, Plotly, Seaborn, Tensorflow, Keras, Pytorch).
- Data Tools: Anaconda, Jupyter notebook, Google Colab, Spyder, Orange Data mining, Tableau public, SPSS.
- Miscellaneous Technology: A/B testing, Data science pipeline (cleansing, wrangling, visualization, feature engineering, preprocessing, modelling, evaluation, interpretation) Statistics, Time Series, Experimental Design, Hypothesis testing, Natutal language processing, Image processing, Fault detection, Dashboard App, OOP, Excel, Git, Linux(shell).
- Soft Skill: Research, Collaboration, Ideation, Problem Solving, Creativity, Analytical Thinking, Critical Thinking.
- Language: Indonesia (Professional, Native), English (Professional), Korea (Adequately).
Skills
My Programming Skills
Python 90%
R 80%
C 75%
JavaScript 50%
CSS 75%
C++ 75%
SQL 75%
Java 55%
HTML 75%
Topics
I'm interested in