Highly analytical MSc student in Sustainable Energy Systems at the Technical University of Denmark, focusing on energy systems analysis for data-driven sustainable and just energy transitions. Experienced in data processing, modelling, and interpretation from geophysical data for geothermal exploration to business growth analytics. Interested in advancing data analysis and machine learning for techno-economic modelling in sustainable energy systems and climate topics.

• MSc Eng in Sustainable Energy Systems (2026 - 2028)
  Technical University of Denmark
• Machine Learning (2022)
  Bangkit Academy by Google, GoTo, & Traveloka
  
• BEng in Geophysical Engineering (2018 - 2022)
  Brawijaya University

Growth Analyst (Feb 2025 - Dec 2025)
PT Amartha Mikro Fintek

• Developed an agent performance dashboard to track reward eligibility, enabling targeted notifications resulting in the program’s highest CTR of the year.
• Executed the development of RFM (Recency, Frequency, Monetary) analysis system with SQL, enabling stakeholders to identify customers’ movement and segment for accurate strategic actions.
• Regularly build and maintain dynamic datasets and dashboards on Superset, aligned with evolving stakeholder requirements and supporting key business objectives.

Machine Learning Mentor (Feb 2022 - Aug 2022)
PT Teknologi Artifisial Indonesia

• Mentored 3 Machine Learning cohorts to guide mentees through end-to-end ML workflows.
• Taught data visualization, preprocessing techniques, and fundamental supervised learning algorithms.
• Evaluated mentee performance and communicated progress reports to program stakeholders.

Geophysicist Intern (Feb 2022 - Mar 2022)
PT NewQuest Geotechnology

• Performed noise analysis on time series, spectral density, coherence, and resistivity/phase curves for magnetotelluric surveys in geothermal exploration sites.
• Enhanced magnetotelluric data quality through time series processing and cross power selection.
• Contributed to the generation of high-quality resistivity models to support geothermal system assessment.

Computational Geophysics Labworks Assistant (Oct 2021 - Dec 2021)
Brawijaya University

• Assisted basic concept of function topic and coding with MATLAB.
• Implemented collective student reporting and scoring with Google Sheets pivoting.
• Analyzed student performance for course evaluation.

GHG Inventory Accounting and Reporting (Google Sheets)
Spreadsheet | Slide

• Conducted research and collected data for fuel emission factors unit conversion.
• Calculated GHG emissions (scope 1, 2, and 3) for a logistic company.
• Built a GHG inventory report aligned with the GHG Protocol for all scopes.
• Proposed emission reduction and sustainable practice strategies for all scopes.

Kimia Farma Sales Overview Dashboard (SQL | Google Looker Studio)
Dashboard | Slide

• Designed datamart for sales with Google Sheets and BigQuery.
• Created aggregate table with additional revenue field for sales analytics.
• Designed a dashboard to monitor sales performance with Looker Studio.

Quantium Trial Store Analytics (Python)
Notebook1, 2 | Slide1, 2, 3

• Handled inconsistent data by data slicing and filtering.
• Transformed and visualized data for high-level analysis.
• Assessed A/B testing by selecting control variables by similarity metrics and hypothesis testing with p-value for change significance control.

Credit Card Fraud Detection (Python | scikit-learn)
Notebook | Slide

• Handled imbalance data by combining undersampling and oversampling
• Detected and removed outliers with IQR
• Built classification models based on multiple algorithms (Logistic Regression, Random Forest Classifier, Support Vector Classifaction, Extreme Gradient Boost) with scikit-learn and reached 0.97 as the best F1 score

Yelp Dataset Profiling and Analysis (SQL)
Quiz Report | Slide

• Profiled and analyzed Yelp dataset with SQL
• Applied querying techniques (GROUP BY and ORDER BY) for correlation insights
• Performed sentiment analysis with regex for business improvement recommendations

Planticure (Python | TensorFlow)
This is a capstone project of my team for Bangkit Academy 2022 led by Google, Tokopedia, Gojek, & Traveloka. My part was to build an image classification model to classify home-grown plant disease from their leaf photos.
Notebooks | Slide

• Transformed several plant disease datasets from TFDS and Kaggle for train-test input
• Applied CNN with Tensorflow to classify home-grown plant diseases
• Achieved >85% accuracy in 10 tests

Breast Cancer Classification (Python | scikit-learn)
Notebook | Slide

• Performed exploratory data analysis (EDA)
• Detected and removed outliers with IQR and Z-Score methods
• Built classification models based on multiple algorithms (Logistic Regression, Random Forest, Support Vector Classifaction, KNN Extreme Gradient Boost) with scikit-learn and reached 0.98 as the best F1 score

Bellabeat Data Analysis (R)
Notebook | Slide

• Analyzed Bellabeat dataset from Kaggle with R
• Combined multiple tables with join and handled missing values to gain correlation insights
• Suggested several key points for future survey and business development

Airbnb Dataset Analysis (Python)
Notebook | Slide

• Performed exploratory data analysis (EDA) with visualization and descriptive statistics
• Handled missing values, filtering, and other data manipulation with pandas
• Automated a price catogirizing to create a new table based on the price category

HackerRank SQL (Basic) Assessment | TensorFlow Developer Certificate | Google Data Analytics | DeepLearning.AI TensorFlow Developer Specialization | Structuring Machine Learning Projects | TensorFlow: Data and Deployment Specialization | Mathematics for Machine Learning