Hi, I'm Amalina
Data Analyst | SQL, Python & Machine Learning
Building dashboards, validating enterprise data, and transforming complex information into actionable insights. Currently exploring how AI systems work behind the scenes and how they can augment analytical workflows.
Thesis Project
My most comprehensive and impactful data science work.
Built a Two-Stage XGBoost classification pipeline to automate agricultural quality control. Explored thorough Exploratory Data Analysis (EDA) and compared decision trees, RF, SVM, and MLP models before isolating XGBoost due to a superior ~83% accuracy and ~82% macro F1 score. Emphasized end-to-end data science workflows over simple model APIs.
Featured Work
A selection of my recent analytics and machine learning projects.
A SQL-based exploration into how inventory, demand forecasting, and sales interact, with a focus on identifying inefficiencies and turning data into actionable business insights.
Developed enterprise-grade operational dashboards for the Regional Enterprise and Government Service (REGS) division during an internship at Telkom Indonesia. Replaced manual spreadsheet workflows with a Looker Studio LOP dashboard and an interactive web-based LOB dashboard integrated with Google Sheets API, Firebase, and Google Cloud — significantly improving data visibility, collaboration, and monitoring efficiency.
Mapped historical issue occurrences spanning SAP BW/BPC environments directly to logical root causes. This exploratory project explores how AI logic can improve analyst efficiency and institutional knowledge reuse within complex ETL layers.
Playground
Experimental data visualizations and creative side projects.
A retro arcade-inspired game I built in 2022 while learning Python fundamentals. It was imperfect, experimental, and full of trial-and-error, but it became the project that introduced me to object-oriented programming, game loops, collision detection, sprite handling, and interactive systems.
Technical Skills
The tools and technologies I use to bring data to life.
About Me
I enjoy solving problems with data. From building dashboards at Telkom Indonesia to validating enterprise-scale datasets at Accenture, I've spent the last few years learning how to transform complex information into actionable insights. Along the way, I've worked with SQL, Python, machine learning, and business intelligence tools while collaborating with both technical and non-technical stakeholders.
One thing that consistently stands out in my work is communication. I enjoy translating technical findings into clear recommendations, asking the right questions, and helping people understand what the data is actually saying.
I'm naturally curious, quick to learn, and not afraid to dive into unfamiliar domains. For me, data isn't just about numbers. It's about understanding problems, uncovering patterns, and helping teams make better decisions.
Get In Touch
I am currently open for full-time roles, internships, freelance opportunities, and data-related collaborations. Feel free to reach out through any of the channels below.
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