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Data Science with less than a year in Data Analysis & Machine Learning
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Assessing your cultural and operational fit
Data science enthusiast and master's candidate in Information Technology (Data Analytics and Pervasive Intelligence) at Universitas Gadjah Mada with a strong foundation in data analysis, machine learning, and knowledge graph modelling. Experienced in transforming complex relational and unstructured data into structured datasets, performing exploratory data analysis, and developing predictive models using Python. Demonstrated ability to generate actionable insights, evaluate model performance, and communicate findings effectively. Seeking remote opportunities to contribute to AI/ML initiatives and data-driven decision making.
Universitas Gadjah Mada
Master's Degree · Information Technology (Data Analytics and Pervasive Intelligence)
August 1, 2024 – June 30, 2026
Politeknik Negeri Ujung Pandang
Bachelor Degree · Computer and Network Engineering
August 1, 2018 – June 30, 2022
TEST English School
English Tutor
November 1, 2023 – July 1, 2024
Pare, East Java, Indonesia
Knowledge Graph & LLM-based Recommendation System
January 1, 2024 – Present
Designed and implemented a knowledge graph to model curriculum structure (courses, prerequisites, and academic attributes), enabling structured and relational data analysis. Developed a hybrid recommendation system using node similarity and semantic similarity, producing context-aware course recommendations. Integrated academic constraints such as prerequisites and credit limits, achieving 100% compliance with regulations on evaluation data. Built an LLM-powered chatbot to explain recommendations, achieving "Good" rating from expert evaluation for relevance and interpretability.
Demand Forecasting & Stock Optimization using Business Intelligence
January 1, 2024 – June 1, 2026
Developed a demand forecasting model using Random Forest Regressor by combining historical sales data and real-time search trends, achieving MSE: 1.76 and R²: 0.75. Conducted Pearson correlation analysis to identify strong relationships between search trends and product demand, supporting data-driven forecasting. Built an integrated Business Intelligence dashboard to visualize demand patterns and enable decision-making for stock optimization. Improved inventory planning by providing dynamic and data-driven insights, enhancing responsiveness to market demand changes.
Export Analysis & Exchange Rate Impact using Data Warehouse
January 1, 2024 – June 1, 2026
Designed and implemented a data warehouse using a star schema to integrate export data and exchange rate data for multidimensional analysis. Built ETL pipelines to process and store historical data from multiple sources into PostgreSQL for efficient querying and analysis. Analyzed the impact of USD-IDR exchange rate fluctuations on export performance, identifying significant relationships affecting export revenue. Developed interactive dashboards to support data-driven decision making for export strategy and policy analysis.
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and foundational skill set in data science, aligning well with a target role in this field. The diversity of projects (recommendation systems, forecasting, export analysis) shows a broad application of data science principles. The ongoing Master's degree indicates a commitment to continuous learning and development, which is a positive cultural fit indicator. However, the limited professional experience outside of tutoring means direct cultural fit in a corporate data science environment is largely unproven.
Soft Skills & Operational Fit
The candidate's experience as an English Tutor suggests strong communication and knowledge transfer skills, which are valuable for explaining complex data concepts. The project descriptions indicate a structured and data-driven approach to problem-solving. However, the lack of professional data science experience means operational fit in a corporate data science team is yet to be fully proven.