Hafizah Mufida

Highly adaptable Data Science fresh graduate with a strong analytical problem solving and strategic leadership. Known as a reliable team mediator, I excel in cross functional coordination and driving data backed business decisions. My leadership experience includes managing organizational operations across multiple departments, successfully increasing revenue by +194%. I am eager to leverage my analytical expertise and collaborative mindset to deliver impactful results.

Data Annotator Intern at PT SMART (Sinar Mas Agro Resources & Technology) Tbk. (2026-09 – 2026-10)

• Assisted Data Scientists in building high-quality datasets by segmenting 1,000+ industrial images across 4 classes using Label Studio, conducting multi-stage reviews to optimize ground-truth accuracy for YOLO model training.
• Evaluated computer vision architectures to automate the classification of re-processable palm fruits, improving sorting efficiency in industrial production workflows.
• Explored Optical Character Recognition (OCR) solutions to digitize handwritten industrial logs, transforming legacy paper records into structured, machine-readable data.

AI Data Analyst Intern at PT Bara Sangray Sehati (2026-07 – 2026-08)

• Analyzed customer traffic and behavioral metrics from CCTV footage to evaluate retail conversion funnels, peak hours, and customer demographics for operational decision-making.
• Built backend API services using Express.js and Node.js to ingest, structure, and store processed surveillance and transaction traffic data into TiDB databases.
• Developed and deployed an interactive analytics dashboard via Streamlit to present real-time foot-traffic insights, conversion rates, and performance reporting for operations teams.

Data Analyst Intern at Department of Marine and Fisheries Office of East Java Province (2025-02 – 2025-02)

Automated & Integration Data Project: dkplaut-app.streamlit.app

• Transformed aquaculture production data from Buku Statistik (2022 – 2023) PDF into structured datasets covering 38 regencies/cities in East Java, enabling analysis of regional production trends and disparities.
• Analyzed manual regional reporting workflows and identified inefficiencies in multi-source data aggregation processes caused by manual data entry into centralized Excel spreadsheets.
• Developed a Python-based data ingestion system using Streamlit, Pandas, and OpenPyXL to automatically process and merge multi-region Excel reports, reducing manual workload and minimizing data entry errors, enabling rapid data validation through an interactive dashboard.

Bachelor in Data Science – Airlangga University (2022 – 2026)