Skills
• Programming Languages: Python, R, SQL
• Databases: SQL Server, Hive, Spark SQL, PostgreSQL
• Data Science Libraries: NumPy, Pandas, Matplotlib, Seaborn, PyTorch, TensorFlow
• Machine Learning Algorithms: Machine Learning, Regression, Classification, Clustering, Neural Networks, Deep Learning, Natural Language Processing, Computer Vision, Statistical Analysis
• Big Data Technologies: Hadoop, Spark
• Cloud Computing Platforms: Azure, AWS
• Data Analytics Tools: Tableau, Power BI, Databricks, Git, MS-Excel, MS Office
• Software Frameworks: Jira, Agile methodology, Confluence