daameya Goto Github PK

📖 Bachelor’s degree in Statistics

📊 Master’s in Data Science and Advanced Computing

🔍 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.

• 📉 Data Modeling and Data Pipeline: Data modeling, ETL processes, and building scalable data pipelines to extract, transform and load data from diverse sources.
• ☁️ 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.
• 🛠️ Tool and Technology Mastery: Proficient in Spark, Databricks, SQL, Docker and Apache Airflow to build comprehensive data engineering and data science solutions.
• 📊 Dashboard Creation & Reporting: Dashboard creation in PowerBI, with a specific emphasis on identifying patterns and behaviour analysis, driving actionable insights for client strategies.

• Shoes-Brand-Image-Classification

Docker | MLOps (DVC) | Github Actions | Azure Cloud | Python | Flask

• Used-Car-Price-Prediction

Python | HTML | Jupyter Notebook | Flask | Azure cloud

• Dating-Platform-Database

SQL | Draw.io | Lucid Charts

• Cab Portfolio Analysis for Investment firm

Python | Jupyter Notebook

• ELT Data Pipeline

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!