As a Data Science undergraduate at Universitas Negeri Surabaya, I am deeply passionate about transforming raw data into actionable insights. With a solid foundation in Information Technology from MSU, Malaysia, my focus lies in leveraging machine learning and data modeling to solve real-world problems, particularly within the public and economic sectors. I thrive on combining analytical thinking with clear communication to build impactful, data-driven solutions.
- π Iβm currently working on a [sebutkan proyek yang paling fokus saat ini, misal: predictive model for university admissions].
- π± Iβm deepening my expertise in model optimization and time-series forecasting.
- π― Iβm looking to collaborate on open-source data science projects that create social impact.
- π« You can reach me at kais.23167@mhs.unesa.ac.id.
Here are the tools and technologies I work with:
Data Science & Machine Learning:
Ini adalah highlight dari pekerjaan saya. Klik untuk melihat kode dan detailnya.
|
A machine learning system to predict student success and integrity in university admissions, enhancing fairness and efficiency. Tech: Python, Scikit-learn |
Developed a model using time-series analysis to forecast food commodity prices in Indonesia, aiding in policy planning. Tech: Time-Series Analysis, Python, Pandas |
|
A predictive model using Random Forest to classify student performance levels based on academic data. Tech: Random Forest, Scikit-learn |
Built a model to estimate daily household electricity consumption using Kaggle datasets to improve energy efficiency insights. Tech: Machine Learning, Time-Series Analysis |
