Data Analyst focused on Operations, Logistics, and Quality Improvement
Turning complex operational data into actionable insights to improve efficiency, reduce errors, and support better decision-making.Specialized in Data Automation • Logistics Analytics • Process Optimization

Data Meets Real-World Systems
I am a final-year Statistics undergraduate at Institut Teknologi Sepuluh Nopember (ITS) with a strong focus on data analytics in operational and logistics environments.
Through hands-on experience in transportation and supply chain systems, I have developed the ability to transform raw operational data into structured insights that improve efficiency, accuracy, and decision-making.
I am particularly interested in building data-driven systems that do not just analyze performance, but actively contribute to process improvement and organizational impact.
A comprehensive toolkit acquired through academic rigor and hands-on industry experience.
Hands-on experience delivering data-driven solutions, automation systems, and strategic insights across real-world operational environments.

Gaining hands-on exposure to Indonesia’s national food logistics and supply chain operations at the branch level, with a focus on data-driven monitoring and operational efficiency.

Assisted in delivering computer-based statistical analysis practicum sessions and guided students in applying analytical methods using various statistical tools.

Supported daily passenger transport operations and improved reporting workflows through automation and data processing.
Strategic roles driving communication, team management, and event execution at scale.
A showcase of data analytics, forecasting models, and operational automation systems.

Transformed 3,500+ user reviews into measurable service quality metrics using NLP and deep learning.
Impact / Focus
Identified critical service issues & enabled data-driven quality improvement.

Automated passenger & logistics reporting into structured monthly operational insights.
Impact / Focus
Reduced manual reporting effort & minimized operational errors.

Compared statistical and deep learning models for cryptocurrency price prediction.
Impact / Focus
Demonstrated LSTM superiority on volatile market data.

Benchmarked multiple neural network models on 10-year NASDAQ stock data.
Impact / Focus
Showed model performance depends on volatility & data structure.

Classified forest cover types using machine learning and deployed results in an interactive dashboard.
Impact / Focus
Achieved 86% accuracy & enabled interactive environmental data exploration.

Designed a normalized relational database system for retail operations.
Impact / Focus
Improved data structure & enabled automated business processes.
A continuous journey of building analytical thinking, structured problem-solving, and real-world perspective.
Continuous learning through curated programs and applied training.

Great Learning · 2025

HIMASTA ITS · 2024

BEM ITS · 2022

BEM ITS · 2022
Selected through national-level evaluation, reflecting strong ability in translating statistical analysis into meaningful insights.
Program Kreativitas Mahasiswa by Direktorat Pembelajaran dan Kemahasiswaan - Kemendikbudristek RI
Project: Social Vulnerability Assessment of Indonesia’s Complete Systematic Land Registration (PTSL)

I am open to opportunities in Data Analytics, Operations, and Logistics, especially roles involving data-driven decision making and process improvement. Feel free to reach out to discuss potential collaborations!