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Vincent-Osbert/README.md

Hi, I'm Vincent Osbert

Data Science undergraduate at Universitas Brawijaya (Malang, Indonesia). I build forecasting, computer vision, NLP and analytics projects, and I enter national data science competitions.

Portfolio: vincent-osbert.github.io · LinkedIn: vincent-osbert · Email: vosbert151515@gmail.com

Competitions

Result Competition Task
8th of 260 teams (private LB) ARA ITS 7.0 Pothole segmentation, SegFormer MiT-B5, Dice 0.804 · repo
9th of 37 teams (private LB) National Statistics Challenge 2026 Air humidity forecasting from IoT sensors, 4-model ensemble with chronological CV, RMSE 3.91 · repo
12th of 13 teams (private LB) FIK FAIR 2026 Tabular regression on 382 rows, kernel hybrids + TabPFN, row-order leak found and not used · repo
National finalist DataQuest 5.0, Universitas Airlangga Life-satisfaction prediction for 95,609 survey respondents

Projects

Python · SQL · pandas · scikit-learn · LightGBM · PyTorch · Hugging Face · Streamlit

Popular repositories Loading

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    Customer Segmentation Analysis using K-Means Clustering on Credit Card Dataset.

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    End-to-end customer churn prediction using Kaggle data, reproducible modeling, evaluation, and a beginner-friendly report.

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  3. retail-demand-inventory-planner retail-demand-inventory-planner Public archive

    Retail demand forecasting and inventory planning with time-based validation, LightGBM, Streamlit, and plain-language documentation.

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  4. customer-intelligence-platform customer-intelligence-platform Public archive

    Customer segmentation and churn scoring on 541K UCI Online Retail transactions with K-Means, Random Forest/XGBoost and a Streamlit dashboard.

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  5. olist-delivery-review-diagnosis olist-delivery-review-diagnosis Public

    Why Olist's reviews dropped in early 2018: root-cause analysis in SQL (DuckDB) on the public Olist dataset

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  6. hotel-cancellation-overbooking hotel-cancellation-overbooking Public

    Predicting late hotel cancellations and turning them into a newsvendor overbooking rule (Python, scikit-learn)

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