Curriculum Vitae
Mochammad Revi Fikri Wardana
Final-year Engineering Physics student with strong interdisciplinary skills across data science, machine learning, and instrumentation <br /> engineering. Proven ability to build and deploy ML models (classification, NLP, CNNs), develop dashboards with Tableau, and implement <br /> control systems such as PID and DCS. Proficient in Python, SQL, TensorFlow, Tableau, and Git. Eager to apply analytical, problemsolving, and programming skills in data-driven and engineering-intensive roles
Agustus 2025
Institut Teknologi Sepuluh Nopember
S1 • Teknik Fisika • IPK 3.21
Januari 2025 - Januari 2025
Instrumen Engineer
PT Pertamina Hulu Rokan • Magang
- Designed a PID controller for oil production equipment, strengthening skills in control systems, problem-solving, and technical analysis.
- Gained practical exposure to industrial systems (SRP, ESP), improving ability to adapt to complex technical domains.
Januari 2025 - Agustus 2025
AI Engineer Cohort
Lintasarta • Magang
- Implemented sales forecasting pipeline on retail dataset, achieving R² = 0.972 with ExtraTrees model. Integrated MLflow (experiment tracking), Prometheus & Grafana (real-time monitoring), and GitHub Actions (CI/CD) to deliver a production-ready ML system with full observability
- Improved employee attrition prediction with Random Forest and SMOTE (F1-score: 0.91, accuracy: 97.9%), created a Tableau dashboard for HR to monitor high-risk employees and attrition trends.
- Built an Indonesian e-commerce sentiment analysis system using Python and NLP pipelines (Tokopedia and Shopee), achieving 87% accuracy through refined feature extraction, generating insights into customer satisfaction for product strategy.
- Applied clustering and classification algorithms for bank customer segmentation, improving predictive accuracy to 94.77%, enabling targeted marketing strategies
- Developed and deployed a CNN image classifier with TensorFlow, TFLite, and TFJS, reaching 90% accuracy via hyperparameter tuning and transfer learning for multi-platform use
Juni 2024 - Juli 2024
Project-Based Data Science Intern
ID/X Partners • Magang
- Conducted EDA, data cleaning, and feature engineering on financial loan datasets (2007–2014) using Python (pandas, NumPy) to ensure data quality and reliability.
- Built and validated credit risk models (Logistic Regression, Random Forest), optimizing via Grid Search CV and achieving strong ROC-AUC performance.
- Delivered visual risk reports to stakeholders, supporting data-driven lending and portfolio management decisions.