🚀 Machine Learning Engineer | Data Scientist | Data Engineer | DevOps Enthusiast
Welcome to my data-driven universe! I specialize in building intelligent systems that transform raw data into real-world solutions. Whether it's predictive modeling, large-scale data processing, or deploying robust ML pipelines, I'm passionate about everything at the intersection of data, code, and innovation.
- 🤖 Machine Learning: Building and optimizing predictive models using advanced ML frameworks and algorithms.
- 📈 Data Science: Solving complex problems through statistical modeling, experimentation, and storytelling with data.
- 🛠️ Data Engineering: Developing scalable data pipelines and data lake architectures for modern data platforms.
- ⚙️ MLOps & DevOps Engineering: Automating the lifecycle of ML models using MLOps best practices and DevOps tools.
- Python | R | SQL | Bash
- Scikit-learn | TensorFlow | Keras | XGBoost | LightGBM
- pandas | NumPy | OpenCV | Matplotlib | seaborn
- Apache Airflow | Apache Spark | Hadoop | dbt | Kafka
- PostgreSQL | MySQL | Snowflake | BigQuery
- AWS S3 | Redshift | GCP | Azure
- Docker | Kubernetes | MLflow | DVC
- GitHub Actions | Jenkins | Terraform | Prometheus | Grafana
| Project | Description | Tech Stack |
|---|---|---|
| SmartPredictor | A machine learning-powered app that forecasts trends with explainability | Python, Scikit-learn, Streamlit |
| DataLakeBuilder | End-to-end pipeline for batch data ingestion and processing | Airflow, Spark, AWS S3, Redshift |
| MLOps Pipeline | CI/CD-enabled machine learning deployment system | MLflow, Docker, GitHub Actions |
🌟 Check out the pinned repositories for code walkthroughs, notebooks, and full-stack ML pipelines!
- 📧 Email: [email protected]
Working on something exciting in:
- 🤖 AI/ML Product Development
- 🏗️ Scalable Data Platform Design
- ⚙️ MLOps & DevOps Automation?
Let’s bring it to life. I’m open to collaboration, freelance, and open-source contributions! 🚀
“Data is the new oil, but insight is the new gold.” – Let’s strike gold together! 🌌