Profile
Data Scientist with over four years of experience developing machine learning models, building data pipelines, and delivering data-driven insights. Master's graduate in Mechanical Engineering from University of Indonesia with strong analytical and problem-solving foundations. Proficient in Python, SQL, MATLAB, PostgreSQL, Dataiku, Tableau, Looker, and various AI/ML frameworks, continuously expanding expertise to contribute to scalable and impactful data solutions.
Working Experiences
October, 2025 – Present
- Researched data science and AI technologies, evaluating 5–8 tools and frameworks annually
- Designed data-driven and AI-based solutions for business needs, completing 4–6 end-to-end projects per year
- Developed machine learning and AI models for 6 use cases annually
May, 2022 – October, 2025
- Defined client data problems from a business perspective for 2 major use cases annually, ensuring clear project scope and measurable objectives
- Delivered data-driven solutions tailored to client needs, supporting 2 end-to-end analytical projects per year with actionable insights
- Cleaned datasets and performed ETL processes across multiple data sources, improving data quality and readiness by 20–30%
- Developed algorithms and models aligned with project scope, producing 2 production-ready models annually that enhanced business decision-making
April, 2025 – October, 2025
- Developed e-learning materials focused on Data Science and Artificial Intelligence, including videos and structured syllabuses designed to be easily understood by learners
September, 2023 – February, 2024
- Facilitated learning sessions for a class of 40 students in the Data Science Bootcamp
- Explained key concepts in data science, including statistics, Python programming, machine learning, and more
- Assisted students with assignments, research, and final projects
- Evaluated and provided feedback on student submissions and performance
Skills
Languages: Python, C, SQL, MATLAB
Databases & BI: PostgreSQL, DBeaver, Tableau, Looker, ChromaDB
Platforms & Tools: Dataiku, Docker, n8n, Streamlit
AI / ML: Machine Learning, Deep Learning, RAG Systems, LLM Integration, Gemini API, Claude, MLflow
Human Languages: Bahasa Indonesia (Native), English (Professional Working Proficiency)
Projects
Dashboard Balanced Scorecard
Designed data pipelines and built dashboards for KPI tracking and employee performance metrics, supporting data-driven decision-making across the organization.
Optimization Scheduler
Developed and implemented scheduling algorithms for the energy industry, with a focus on renewable energy resource optimization.
Dashboard 360
Internal product involving end-to-end ETL processes to create comprehensive business dashboards with unified data views across departments.
GenAI Internal Product
Developed AI-powered solutions to assist internal teams with various tasks, integrating generative AI capabilities into existing business workflows.
Anti-Fraud Prediction
Cleaned financial data and developed machine learning algorithms to detect and predict fraudulent activity, improving transaction security.
ChatBot AI — Marketing
Built an AI-powered product for the marketing team covering KOL placement recommendations and campaign strategy suggestions.
Korean Product Crawling & Viz
Scraped product data from Coupang and OliveYoung and built visual analytics to surface trending products and market insights.
Credit Scoring
Prepared and processed financial datasets and designed machine learning algorithms to evaluate and predict credit risk for lending decisions.
Recommendation System
Self-initiated project to design and implement recommendation algorithms, exploring collaborative and content-based filtering approaches.
To-Do List Web App
A web-based to-do list application with a built-in mood tracker and productivity insights — built with pure HTML, CSS, and JavaScript, zero frameworks or dependencies.
Legal-AI
Built an AI-powered tool to assist in analyzing Non-Disclosure Agreements (NDAs) submitted by users, based on Indonesian law — including clause-level risk scoring (High/Low Risk) and references to applicable Indonesian legal regulations.
PDF Data Crawling AMF
Extracted financial data from info-financiere.gouv.fr, applied data transformation pipelines, and exported the results as CSV — with support for daily automated ingestion or targeted date-specific extraction.
Face Recognition Attendance
A CNN-based face recognition system for employee attendance that automatically identifies individuals from photos and records attendance via REST API.
News Sentiment Classifier
Built an automated pipeline using n8n to analyze and classify incoming news articles by category and sentiment, powered by Gemini API for natural language understanding.
Cleansing Data CRM Advance
Built a data cleansing pipeline for CRM records combining NLP, regex pattern matching, and TF-IDF similarity scoring to standardize and correct messy string fields — raised substitution accuracy from 20% to 64%.