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Data Science with less than a year in Data Analysis & Machine Learning.
Bachelor's Degree in Data Science Technology from Airlangga University, with demonstrated adaptability and hands-on experience through academic projects, collaborative teamwork environments, and internships in both the banking and public sectors. At Bank Rakyat Indonesia (BRI), I supported workforce distribution optimization initiatives through workforce capacity analysis, staffing allocation assessment, and operational support to improve organizational effectiveness and decision-making. Previously, at BMKG Maritim Tanjung Perak Surabaya, I was involved in the end-to-end management of meteorological data, including data collection, validation, analysis, and reporting to produce climate and rainfall insights. Skilled in data analysis, reporting, data mining, machine learning, and data-driven problem solving, with proficiency in Python, R, MySQL, and Microsoft Excel. Possessing strong teamwork, communication, resilience, and analytical thinking skills, I am ready to apply my data and technology expertise in a professional environment.
Airlangga University
Bachelor of Data Science Technology
September 1, 2021 – August 1, 2025
PT Bank Rakyat Indonesia
Internship
November 1, 2025 – February 1, 2026
India
BMKG Maritim Tanjung Perak Surabaya
Internship
January 1, 2024 – February 1, 2024
India
Undergraduate Thesis - Stock Price Forecasting
November 1, 2024 – July 1, 2025
Researched BBRI stock price prediction using NeuralProphet and Gated Recurrent Unit (GRU) models on daily data (2010-2024). Applied time series preprocessing, feature engineering, and hyperparameter tuning (Grid Search & Keras Tuner). Found NeuralProphet outperformed GRU, achieving 39.3% lower RMSE, 41.2% lower MAE, and 38.2% lower MAPE in forecasting accuracy.
Online Food Customer Review Analysis
November 1, 2023 – January 1, 2024
Analyzed 10k+ online customer reviews from 11 branches of Mie Gacoan in Surabaya using Machine Learning and Natural Language Preprocessing (NLP) techniques. Performed web scraping from GoFood, conducted manual data labeling for 2 branches, and prepared a clean dataset for model development. Built and fine-tuned a Transformers-based Sentiment Analysis model, achieving 94% accuracy and F1-score, enabling quick identification of customer concerns and service insights
Community Health Service Data Warehouse Development
November 1, 2023 – January 1, 2024
Designed and developed a data warehouse architecture using MySQL with a star schema, integrating fact tables (nutrition status, immunization) and multiple dimension tables (child, mother, health staff, location). Implemented ETL (Extract, Transform, Load) processes using Pentaho Data Integration (Kettle) to extract, transform, and load data from multiple sources into the warehouse. Built a web-based dashboard with Laravel and Tableau to visualize child growth, nutrition, and immunization coverage, enabling health officers to make data-driven decisions.
Interactive Descriptive Statistics Dashboard
November 1, 2022 – December 1, 2022
Developed an interactive web application using R Shiny to visualize descriptive statistics, covering key measures such as mean, median, mode, variance, and distribution, enabling clear insight into dataset characteristics. Implemented dynamic input features that allowed users to upload custom datasets, automatically process them, and explore results in real-time through interactive plots and tables. Enhanced data accessibility and literacy by designing an intuitive, user-friendly interface that simplified statistical concepts for both technical and non-technical users.
Microsoft Office Specialist Certification (Word, PowerPoint, Excel)
Unknown
June 1, 2026 – Present
Data Classification and Summarization Using IBM Granite
IBM
June 1, 2026 – Present
Global Operation Indonesia TOEFL Test
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse areas within data science, including NLP, data warehousing, time series forecasting, and interactive visualization. Their internships in banking (workforce planning) and meteorology (data collection and analysis) demonstrate adaptability and a willingness to apply data science skills in varied sectors. This breadth of experience suggests a good cultural fit for roles requiring versatile data professionals, though the academic nature of most projects means real-world business impact experience is limited.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and teamwork skills through academic projects and internships. Their experience in coordinating competency assessments and supporting workforce planning at PT Bank Rakyat Indonesia suggests an ability to contribute to operational efficiency and collaborate within a professional environment. The psychometric test score (247/500) indicates potential areas for development in logical reasoning, work attitude, stress handling, and team collaboration, which are crucial for senior roles.