Hi, I'm Leandra Belva Varissa Perwira Negara
I am a Computer Science undergraduate at BINUS University with a strong interest in Big Data Processing and Analytics, Data Engineering, Backend Development, and Database Technology. I am seeking to gain experience and knowledge to broaden my skills through organizational and real world projects, while continuously improving my technical capabilities to work well in a team.
Hello! I'm Belva, a Computer Science undergraduate at BINUS University with a strong interest in Big Data Processing and Analytics, Backend Development, and Database Technology. Through academic projects and real-world experiences, I have developed skills in data engineering, database management, backend development, and data analysis using technologies such as Python, PySpark, Hadoop HDFS, MySQL, Pentaho, and Laravel. I also enjoy working collaboratively on projects and organizational activities, where I continue to develop my communication, leadership, teamwork, analytical, and problem-solving skills.
Emma Travel - Full-Stack Tour Package Platform
Full-Stack web application with a Laravel backend, featuring adminisitrative dashboard for travel package management and pre-filled Whatsapp client booking integration.
Daily Pizza Order Volume Forecasting
Predictive machine learning pipeline using Random Forest Regressor and Hyperparameter Tuning via GndSearchCV, deployed as an interactive Streamlit web analytics dashboard.
ETL Pentaho - Optimizing Clinical Data Management from Dark Data Identification
Developed an end-to-end distributed data processing pipeline and machine learning system utilizing PySpark and Hadoop HDFS to predict credit default risk.
Noisecore - E - Commerce Front-End
Front-end e-commerce web application focused on audio equipment featuring category filters, product showcases, and interactive hero navigation designed for "Human and Computer Interaction" course.
Distributed Big Data Analytics & Credit Risk Prediction Platform
Developed an end-to-end distributed data processing pipeline and machine learning system utilizing PySpark and Hadoop HDFS to predict credit default risk.
"Explore what i have learned!"
Languages
Database & Data
Web Development
Analytics & Tools
Foreign Languages
Figma