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

Unlocking Insights & Optimizing Operations
I am a Statistics graduate from Institut Teknologi Sepuluh Nopember (ITS) with hands-on experience in data analytics, reporting, and process automation through operational internships at Perum BULOG and PT PELNI.
Proficient in Python, SQL, R, and Excel, I specialize in data processing, visualization, machine learning, and statistical analysis, applying these skills to real-world problems including NLP, time series forecasting, and service quality monitoring.
I am passionate about building data-driven systems that transform complex data into actionable insights, and I am actively seeking opportunities in Data Analytics, Business Intelligence, and Operations Analytics.
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.

Supported national food logistics, commodity distribution, and operational reporting through data recording, dashboard monitoring, and ERP workflow exposure.

Delivered statistical computing instruction and guided undergraduate students through hands-on data analysis, debugging, and real-world application workflows.

Automated core operational reporting workflows and processed multi-voyage transport data to optimize operational efficiency and data structure.
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.

Global Language Centre ITS · (2026 - 2028)

Valitrait.ai · (2026 - 2027)

Google Skillshop · (2026 - 2027)

Dicoding Indonesia · (2026 - 2029)

Dicoding Indonesia · (2026 - 2029)

Dicoding Indonesia · (2026 - 2029)
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, Monitoring & Quality Control, Business Intelligence, and Operations, especially roles involving data-driven decision making and process improvement. Feel free to reach out to discuss potential collaborations!