Kevin Sean Hans Lopulalan
Born a spectator, living to thrive in the fight for purpose.
About
An unwavering advocate for the belief that the convergence of data science and compelling communication is the vital force sustaining societies amid the relentless tide of automation's evolution.
Driven by ambition and a constant desire to learn and explore new ideas. He sees himself as a relentless seeker of ambition, ever eager to embrace new knowledge both within his field and beyond, navigating the vast realms of his personal and professional life with unyielding curiosity. He is also a fervent tech enthusiast, driven by a passion for the latest innovations.
Though he may not yet be the foremost expert in his field, he is driven by dreams of pushing boundaries and welcoming progress, all while remaining unwavering in his values. His journey is fueled by a deep-seated dedication to advancing his nation's future.
Curriculum Vitae
A fleeting glimpse into the life of Sean.
Work Experience
Sinarmas Land
Data Analytics Specialist
May 2025 - present
South Tangerang, Banten, Indonesia
Leveraged Python, SQL, and automated ETL pipelines to analyze market trends and deliver data-driven strategic insights through Power BI dashboards. Additionally, built and operationalized AI models for sentiment analysis, profile classification, and automated summarization to streamline cross-functional reporting.
Unilever
Supply Chain Finance Business Intelligence Analyst
November 2024 - May 2025
South Tangerang, Banten, Indonesia
Developed award-winning data analytics solutions, automated processes using VBA, Power Automate, and Python, and created advanced Power BI dashboards to enhance business performance.
Sinarmas Land
Business Intelligence Intern
July 2024 - November 2024
South Tangerang, Banten, Indonesia
Collected market data to understand trends and preferences. Analyzed this data to identify patterns, evaluate conditions, and understand customer needs.
PT. Bhinneka Sangkuriang Transport
Data Analyst Intern
September 2023 - December 2023
Bandung, West Java, Indonesia
Researched shuttle scheduling optimization, analyzed historical data and departure patterns, and calculated load factors. Developed a dashboard to visualize patterns and derive business insights.
Astra International
Data Intelligence Intern
July 2023 - September 2023
North Jakarta, Jakarta, Indonesia
Completed in-class training in Data Intelligence, focusing on SQL, Python, PowerBI, web scraping with Selenium, JSON, and FastAPI. Extracted and processed data from PostgreSQL using Python, then applied machine learning and cross-validation for optimal predictions.
Education
Institut Teknologi Bandung
Bachelor of Science
September 2020 - August 2024
Bandung, West Java, Indonesia
Kolese De Britto
July 2017 - June 2020
Sleman, Special Region of Yogyakarta, Indonesia
Projects
Cryptora: Secure Data Storage App
Python
Cryptora is a tool to encrypt sensitive information in a form of excel file and further decrypt it from a binary file.
Financial Trading with Deep Convolutional Neural Networks
Python
Algorithmic Trading with Deep Learning: A 2D CNN Approach for Stock Movement Prediction Using Technical Indicator Images.
Utilizing Deep Learning for Classification of Heart Disease
Python
Exploring Deep Learning for Heart Disease Prediction: A Comparative Study of MLP and CNN Models Using Patient Symptom Data.
Eventh!ngs: Find Your Event Needs Here!
Python
Eventhings is a platform that connects event organizers with vendors, media partners, and sponsors. It uses machine learning, including recommendation systems and NLP, to personalize and streamline the event planning process.
Captcha Solver
Python
A Recaptcha Solver implemented using Python Selenium and the Buster extension.
Comparison Study of Methods for Finding All Roots of Nonlinear Equation Systems Using Differential Evolution
Matlab
A thesis, titled "Comparison Study of Methods for Finding All Roots of Nonlinear Equation Systems Using Differential Evolution," explores the performance differences among three optimization methods used to find solutions for multiple nonlinear equation systems.
Stock Price Prediction Website Using Machine Learning and Math
Python
Developed a model using technical and fundamental analysis, including regression for short-term predictions, machine learning for long-term forecasts, and a user-friendly website.
Mathematical Approach for Predicting Environmental Quality in West Java
Python
Analyzed environmental index data by processing annual data (2011-2021) for West Java and predicting the 2022 index using curve fitting and extrapolation.
Spatial analysis for Gold Ore Modeling in West Java and Banten
R
Analyzed the impact of outliers on gold ore data by processing spatial properties and value, predicting content with ordinary kriging, and interpreting correlations with gold commodity values.