With over 2 years of experience as a data scientist, I specialize in applying machine learning and data analytics to drive actionable insights and optimize business performance. My technical expertise spans Python, SQL, and MLOps, with a strong focus on building efficient data pipelines, model optimization, and deploying scalable systems using Docker, Kubernetes, and Airflow.
Skills:
- Programming Languages and Analytical Tools: Python, SQL, R, Tableau, PowerBI, Advanced Excel
- Cloud Tech and BigData: AWS, Google Cloud Platform (GCP), Pyspark, Databricks, Hadoop
- Database and ETL Tools: MySQL, PostgreSQL, MongoDB, Databricks, MS SQL Server, Map-Reduce, Snowflake
- Developer Tools and Frameworks: Docker, Kubernetes, Airflow Git, Terraform, MLFlow, PyTorch, Streamlit, FastAPI
- Libraries: Pandas, NumPy, SciPy, Scikit-learn, Matplotlib, Seaborn, NLTK, OpenCV, Keras
