
Husna Nur Amalina
@husnanuramalina
I build reliable data models, forecasting systems, and AI training datasets.
What I'm looking for
At SIRCLO, I manage data across 350+ tables and build analytics-ready models with dbt Cloud, BigQuery, and PostgreSQL. I also support data governance through Unity Catalog documentation and infrastructure exploration in Databricks.
I developed a demand forecasting model across 200+ store-warehouse combinations, evaluating LSTM, XGBoost, CatBoost, and SARIMAX. The model achieved under 15% error for 11 high-volume locations during peak festive periods.
I've built AI products including a RAG-based bug triage chatbot, a CV scoring and feedback model, and computer vision labeling workflows across 200+ datasets. As a freelance AI Data Annotator at RWS, I evaluate and tag audio, video, and image data for AI training.
My projects include Emoby, a CNN-based child maltreatment emotion-recognition system that reached 80% accuracy, and PatientRePro, a hospital readmission prediction project that achieved an 81% F1-score. I enjoy improving data quality, model performance, and decision-making through practical analytics and AI work.
Experience
Work history, roles, and key accomplishments
Performed pairwise comparisons, counting tasks, and object tagging across audio, video, and image data. Conducted audio evaluations in Indonesian locale to support multilingual data quality.
Collected, manipulated, and managed data across 350+ tables, processing hundreds of thousands of records daily. Built and maintained 50+ analytics-ready data models using dbt Cloud on BigQuery and PostgreSQL, and developed a time series demand forecasting model achieving under 15% error for high-volume store-warehouses.
Data Science Manager
Magna Partners
Mar 2024 - Jan 2025 (10 months)
Supervised end-to-end data science project delivery, from data pipeline architecture to AI model development. Developed a RAG-based AI model for CV scoring and feedback, and led data annotation workflows across 200+ computer vision datasets.
Chapter Lead - Bandung
Yayasan Generasi Maju Berkarya (Generation Girl)
Jun 2024 - Dec 2024 (6 months)
Led and managed local chapter operations, ensuring alignment with organizational goals. Expanded participation by securing 156 registrants for the flagship Code Her Path Development Program and 90+ participants for additional initiatives.
Designed and developed a bug triage chatbot prototype using Retrieval-Augmented Generation (RAG) and a fine-tuned LLM. Optimized model performance through data preprocessing and prompt engineering.
Data Analytics and Quality Intern
Petronas Lubricants International Sdn Bhd
Jul 2023 - Mar 2024 (8 months)
Designed, developed and managed an end-to-end data pipeline for monthly quality performance metrics. Created global supply chain quality performance dashboard for 7 plants using Power BI and automated processes with VBA.
Education
Degrees, certifications, and relevant coursework
Asia Pacific University Technology and Innovation
B.Sc (Hons), Computer Science
2020 - 2024
Grade: 3.41/4.00
Activities and societies: Relevant Coursework: Optimization and Deep Learning, Business Intelligence, Database Security, Programming for Data Analysis, Data Management, Data Mining and Predictive Modelling, Project Management
B.Sc (Hons) in Computer Science with a specialism in Data Analytics, achieving a CGPA of 3.41/4.00. Final year project focused on deep learning-based child maltreatment sign recognition using CNN.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Skills
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