Evan Hanif Widiatama
Statistics Student | Data Specialist
Technical Skills
- Programming: Python, R, Tableau
- Data Modelling:
- Structured Data: Advanced
- Unstructured Data: Intermediate
Profiles & Portfolio
🔗 LinkedIn | DataCamp | Kaggle | GitHub | Certifications
About Me
Third-year Statistics student with multiple data science certifications, including Google’s Advanced Data Analytics and DataCamp’s Associate Data Scientist. Proficient in Python and experienced in handling tabular data, time series data, and image data. Familiar with frameworks such as scikit-learn, XGBoost, PyTorch, SHAP, and others. Holds 90+ certifications and pursuing a career in data science, data analytics, or machine learning engineering.
Experience
Computer Vision Engineer Intern
📍 DataIns | PT Global Data Inspirasi | Dec 2024 - Present
- Migrated object detection pipelines from YOLOv10 to YOLOv11, leveraging architectural advancements (e.g., improved backbone networks, enhanced anchor-free detection) to optimize inference speed and accuracy.
- Retrained models on domain-specific datasets, achieving X% improvement in [metric: mAP/FPS/precision].
- Developed a computer vision-based system integrating object detection (YOLOv11) with optical flow/tracking algorithms (e.g., OpenCV) to estimate vehicle speed from video streams.
Research Assistant (Hybrid Machine Learning)
📍 Universitas Sebelas Maret | Jan 2025 - Present
Research Assistant (Time Series Forecasting)
📍 Universitas Sebelas Maret | Jun 2024 - Present
- Collaborated on a grant-funded research project to optimize time series forecasting models for daily electricity consumption.
- Developed end-to-end forecasting pipelines using Python (
pandas,scikit-learn), incorporating bagging-based ensemble methods (Random Forests, Gradient Boosting) to enhance prediction robustness. - Achieved a 30-day forecast MAPE of 1-2% using sliding window cross-validation (30 folds), ensuring stability and accuracy for deployment.
- Presented research findings at BicoPam 2024 (International Conference).
- Tools & Skills: Python (NumPy, pandas, scikit-learn), time series decomposition, ensemble learning, data visualization (Matplotlib, Seaborn), cross-validation strategies.
Education
🎓 B.S. in Statistics | Universitas Sebelas Maret | Aug 2022 - Present
Certifications
📜 90+ certifications available here.
Achievements
🏆 1st Winner – Olimpiade Statistika SPSS | BINUS 2024
- Implemented an XGBoost model with SHAP values for in-depth data analysis.
🏅 Top 4 (Juara Harapan 1) – Lomba Karya Tulis Ilmiah (LKTI) Jambore Statistika XIV | Universitas Mulawarman 2025
- Paper: “Narcotest: Inovasi Deteksi Narkolepsi - Model Prediktif XGBoost berbasis Situs Web”.
🥈 Ranked 1/196 (Public), 12/196 (Private) – Hology 7.0 | Universitas Brawijaya (UB) 2024
- Built a multilabel-multiclass classification model for computer vision, classifying t-shirt vs hoodie categories and colors.
📊 Ranked 16/202 – FIND IT Data Analytics | Universitas Gadjah Mada (UGM) 2024
- Developed a predictive analytics model to segment customers.
🚗 Ranked 38/107 – DataSlayer 1.0 Machine Learning Contest | Institut Teknologi Padang (ITP) 2024
- Created a predictive model to estimate vehicle CO₂ emissions.