- 💼 Data Scientist | MLOps Engineer | Engineer in Mathematical Modeling & Operational Research
- 🌱 Passionate about machine learning, dashboard development, and deploying ML models into production.
- 📫 How to reach me: [email protected]
- 🤖 Machine Learning & Modeling
- 🔄 Data Engineering & Data Pipelines
- 📊 Dashboard Development
- 🚀 MLOps & Deployment
-
🤖 Machine Learning & Modeling:
- 🍎 Fruits Recognition Training: Development and evaluation of AI models for fruit image classification, including custom CNN, EfficientNet, ResNet, and VGG16.
- 🔍 Churn Prediction and Analysis Project: Customer data analysis and churn risk prediction using machine learning techniques.
-
🔄 Data Engineering & Data Pipelines:
- 🛍️ E-Commerce Data Pipeline: A comprehensive data engineering platform for e-commerce including synthetic data generation (Python Faker), ETL pipeline orchestration (Apache Airflow), structured data lake (Bronze/Silver/Gold layers), interactive analytics dashboards (Apache Superset), and real-time monitoring (Grafana).
- 🚗 RentCar Analytics Pipeline: End-to-end data pipeline using MongoDB Atlas, Airbyte Cloud, dbt, Airflow (Astronomer), Snowflake, and Metabase.
✈️ Airline Analytics Pipeline: End-to-end data pipeline using Apache Airflow to extract airline data from PostgreSQL, transform with DuckDB, store in MongoDB Atlas, and visualize through an interactive Streamlit dashboard.
-
📊 Dashboard Development:
- 📈 Dashboard Streamlit ATUT: Interactive dashboard built with Streamlit for data visualization and analysis.
- 🛍️ Retail Analysis and Prediction: Development of a dashboard for retail data analysis and sales prediction.
-
🚀 MLOps & Deployment:
- 🍇 Fruits Recognition API: API developed with FastAPI to predict house prices based on various features.
- 🔧 MLOps Continuous Integration (CI) and Continuous Deployment (CD): Demonstration of CI/CD pipeline implementation using GitHub Actions.