- Programming Languages: Python, R, SQL, Scala, Java, C++
- Machine Learning & Deep Learning: TensorFlow, Keras, PyTorch, Scikit-learn, XGBoost, Spark MLlib
- Big Data Technologies: Spark, Hadoop, Ray
- Optimization & Forecasting: Time-series analysis, optimization techniques
- Quantitative Analysis: Statistical analysis, mathematical modeling, hypothesis testing
- Cloud Computing & DevOps: GCP, AWS, Azure, Databricks, Vertex AI, CI/CD tools
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- Data Architecture & Engineering: Dataform, data modeling, preprocessing workflows
- Operationalization & Scaling: MLOps, scalable ML models, production environments
- Collaboration & Leadership: Cross-functional team leadership, mentorship, stakeholder communication
- Data Visualization & Business Intelligence: Dash, Flask, Plotly, Tableau, MS BI, Google Data Studio
- Strategic Thinking: Translating data insights into business recommendations
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