Passionate about the convergence of Cloud Technology and Data Management using Data Analytics, I advocate for actionable insights from intricate datasets in sophisticated Cloud architecture. Holding a master's in Information Systems from the University of Maryland Baltimore County, my academic journey enriched me with expertise in applying advanced principles in data science, engineering, and cloud computing for real-world challenges. Proficient in navigating cloud intricacies, I excel in extracting valuable knowledge across domains like big data analytics, engineering and machine learning. Eager to contribute to sectors where data fuels innovation, I'm dedicated to optimizing processes and unlocking the full potential of data-driven decision-making. Skills: Data Visualization: Tableau, Amazon QuickSight, PowerBI, MicroStrategy. Database Management: Oracle, MySQL, Snowflake. ETL tools: Informatica MDM, Talend, SnapLogic. Machine Learning: Numpy, Pandas, SciKit-Learn, Seaborn, Matplotlib, PySpark, Weka. Programming language: Python, HTML, CSS, JavaScript, R, Bash Scripting, SQL, Oracle PL/SQL, PostgreSQL, NoSQL. IDE Tools: PyCharm, Jupyter Notebook, Google Colab, Visual Studio Code. Version Control: Git. Cloud Platform: AWS - Certified Solutions Architect Associate, Certified Cloud Practitioner. CI/CD Pipeline: Terraform, Docker. Let's connect to explore the limitless possibilities of Data and Cloud.