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- πΌ Cloud Data Engineer| Data Scientist | MLOps Engineer | Engineer in Mathematical Modeling & Operational Research
- π± Passionate about machine learning, dashboard development, and deploying ML models into production.
- π« How to reach me: abklb27@gmail.com
- π€ Machine Learning & Modeling
- π Data Engineering & Data Pipelines
- π Dashboard Development
- π MLOps & Deployment
Python R TensorFlow Keras Scikit-learn Streamlit FastAPI Git Docker Kubernetes Linux Apache Spark Apache Airflow Airbyte dbt Snowflake Apache Superset Metabase PostgreSQL MongoDB Dagster Redpanda Apache Kafka GitHub Actions GitLab CI Matplotlib Seaborn Plotly PyCaret
Google Cloud BigQuery Cloud Storage Pub/Sub Dataflow Dataproc Cloud Composer Bigtable Spanner Cloud SQL Data Fusion
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π€ Machine Learning & Modeling:
- π Fruits Recognition Training: Development and evaluation of AI models for fruit image classification, including custom CNN, EfficientNet, ResNet, and VGG16.
- π Churn Prediction and Analysis Project: Customer data analysis and churn risk prediction using machine learning techniques.
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π Data Engineering & Data Pipelines:
- ποΈ 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).
- π RentCar Analytics Pipeline: End-to-end data pipeline using MongoDB Atlas, Airbyte Cloud, dbt, Airflow (Astronomer), Snowflake, and Metabase.
βοΈ 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.
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π Dashboard Development:
- π Dashboard Streamlit ATUT: Interactive dashboard built with Streamlit for data visualization and analysis.
- ποΈ Retail Analysis and Prediction: Development of a dashboard for retail data analysis and sales prediction.
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π MLOps & Deployment:
- π Fruits Recognition API: API developed with FastAPI to predict house prices based on various features.
- π§ MLOps Continuous Integration (CI) and Continuous Deployment (CD): Demonstration of CI/CD pipeline implementation using GitHub Actions.