Hello, I’m
Data Science undergraduate at Universitas Brawijaya.
I compete in national data science competitions: computer vision, time series, survey data and Indonesian NLP. I pick models on cross-validation that matches the test split, chronological for time data and grouped for grouped data.
Looking for a 6-month internship, January to July 2027. Jakarta/Tangerang on-site or remote.
Competitions
Rankings are from the final private leaderboard.
01 · Computer vision · ITS, 2026
Can a model show exactly where road damage appears in a photograph?
SegFormer MiT-B5 fine-tuned on 498 labelled road images, with Tversky loss for small potholes, a 5-fold ensemble and flip test-time augmentation.
Sensor gaps filled with time-based interpolation.
02 · Time series · NSC, 2026
Can future greenhouse humidity be predicted without leaking the future into training?
Team of three. I built the reproducible pipeline for our 4-model ensemble: 8-fold chronological cross-validation and time-based interpolation of sensor gaps.
Presented to the judges in the national final, team of three.
03 · Survey modelling · Universitas Airlangga, 2026
How far can survey answers predict a person’s life satisfaction?
Expected-value thresholds replaced argmax and added 0.06 QWK. A learning curve over five data sizes flattened, which pointed to missing survey questions rather than model capacity.
Validated with folds grouped by topic.
04 · NLP · ACTION, 2026
Which public-service topics is an Indonesian social-media comment about?
An ensemble of IndoBERT base, IndoBERT large and IndoBERTweet, validated with topic-grouped 5-fold cross-validation.
About
I am in my third year of Data Science at Universitas Brawijaya (GPA 3.53/4.00). Most of my competition work is done in teams of three, and I also assisted the Database lab course in 2026.
I am free for a full-time internship from January to July 2027.
Python · pandas · scikit-learn · LightGBM · XGBoost · CatBoost · PyTorch · Hugging Face Transformers
SQL · Streamlit · Plotly · Excel · Git & GitHub · Kaggle
Indonesian (native) · English (fluent) · Mandarin (basic)
Experience
Universitas Brawijaya · GPA 3.53/4.00 · Artificial Intelligence, Data Mining, Big Data Analytics, Data Warehousing, Cloud Computing.
Universitas Brawijaya · ran weekly lab sessions on relational design and SQL, graded assignments and practical exams for 30+ students.
Coordinated judges and speakers, drafted the MoU, run-of-show and post-event report.