- π Bachelorβs degree in Statistics
- π Masterβs in Data Science and Advanced Computing
π As a Data Science Graduate, I specialize in turning complex data into insights and crafting seamless data science solutions. Expert in Python, SQL, , Azure, Machine Learning and Power BI, I create robust data pipelines and develop insightful dashboards that drive progress and efficiency.
- π Data Modeling and Data Pipeline: Data modeling, ETL processes, and building scalable data pipelines to extract, transform and load data from diverse sources.
- βοΈ Cloud-Based Solutions: Leveraging Azure cloud for optimized data storage, processing, and implement MLops practices like DVC and GitHub Actions, enabling seamless versioning, tracking, and deployment of machine learning models.
- π οΈ Tool and Technology Mastery: Proficient in Spark, Databricks, SQL, Docker and Apache Airflow to build comprehensive data engineering and data science solutions.
- π Dashboard Creation & Reporting: Dashboard creation in PowerBI, with a specific emphasis on identifying patterns and behaviour analysis, driving actionable insights for client strategies.
- Docker | MLOps (DVC) | Github Actions | Azure Cloud | Python | Flask
- Python | HTML | Jupyter Notebook | Flask | Azure cloud
- SQL | Draw.io | Lucid Charts
- Python | Jupyter Notebook
- Docker | Python | PostgreSQL | CRON |
Currently enhancing my skills in Big Data Technologies and exploring Artificial Intelligence applications in Data Engineering.
Linkedin: linkedin.com/in/ameya-damle
Email: [email protected]
Looking forward to collaborating on innovative data engineering projects!