- Data Analysis & Visualization: SAS, AWS QuickSight, MATLAB, Power BI (DAX, Power Query/M), Tableau, Google Analytics
- Big Data & Distributed Computing: Apache Hadoop, Apache Hive, Apache Spark, Snowflake
- Statistical Analysis: Hypothesis Testing, Regression Analysis, Time Series Analysis, Bayesian Statistics, t-test, A/B Testing
- Programming Languages: Python, SAS, C/C++, SQL, R, Java
- Databases: SQL Server, MySQL, PostgreSQL, NoSQL (MongoDB)
- Machine Learning Libraries: Keras, TensorFlow, Scikit-learn, Pandas, NumPy, Seaborn, Matplotlib, NLTK, OpenCV, Scipy
- Cloud & DevOps: AWS, Docker, Kubernetes, CI/CD
- Development Tools & Platforms: Git, GitHub Copilot, DBT, Bash, Postman, Jira, Confluence
- Other Skills: Agile Methodology, Version Control (Git/GitHub), REST API Development, Microservices