Welcome to my portfolio website!
I'm Aurellia Vania
Data Analytics & Information Technology Enthusiast
Reach Me
PROFILE
Aurellia Vania Yosephine Budiman
Personally, I'm a well-organized, conscientious person who enjoys learning new things. Learning new things comes to me rather quickly, especially when they appeal to my interests.
I'm currently concentrating on obtaining an entry-level position in the subject of data analytics or data science, but I'm still keeping my options open for positions in the computer science industry.
EXPERIENCES
Bina Nusantara University
Computer Science and Statistics MajorCurrent GPA (9th Semester) : 3.85 / 4.00
Karangturi National School
Senior High SchoolPT. Maybank Indonesia Finance Tbk.
Data Scientist Intern- Extracting and loading several data from SQL Server Management Studio (SSMS) to Hive data warehouse using Sqoop (Hadoop environment)
- Enhancing and fixing a feature in one of the company’s internal websites to support their operational activities; includes updating the related stored procedures
- Analyzing company’s personal customer demographic segmentation using K-Modes algorithm
BINUS Statistics Student Association (HIMSTAT)
Member of Learning & Research Division- Creating Statistics learning module for junior students
- Contributing and participating in organizational events (Benchmarking, Study Tour, committee, etc.)
BINUS Student Learning Community (BSLC)
Mentor- Mentoring other students with GPA less than 2.00
- Create and share reports for mentoring progress monthly
SoloLearn, Anak Teknik Indonesia, DataCamp, etc.
Neural Network for Multivariate Time Series: Teori, Terapan dan Simulasi
by Jusuran Statistika Universitas BrawijayaSKILLS
Technical Skills
Python
R
SQL
Statistics
Data Mining
Machine Learning
HTML
CSS
JavaScript
Soft Skills
Communication
Problem Solving
Time Management
Teamwork
Adaptability
Work Ethic
Tools
RStudio
Jupyter Notebook
Google Colaboratory
SPSS
Visual Studio Code
Microsoft SQL Server
Microsoft Excel
Hadoop (Hive, Sqoop)
PORTFOLIO
CO2 Concentration Forecaster
Web-based application made with Python Streamlit to forecast CO2 concentration of Mauna Loa Observatory using auto-ARIMA and auto-SARIMA.
Fraudulent Claim Classificator
Web-based application made with R Shiny to classify whether a claim on cars physical damage is a fraud or not using several classification machine learning algorithms.
Survival Analysis of Patients with Cardiovascular Disease
Analysis about cardiovascular patients' survival time based on several variables using Cox Proportional Hazard model and Extended Cox model.
Clustering Provinces in Indonesia based on Human Development Index Factors
Cluster the provinces in Indonesia using K-Means algorithm based on significant Human Development Index factors (tested using Linear Regression model).
Analysis of BINUS Student Satisfaction Towards Zoom
Using Structural Equation Modeling (SEM) to analyze multiple relationships between factors that affect BINUS student satisfaction towards Zoom as the video conference software for online classes.