Skills

• Machine Learning: Classification, Regression, Clustering, Decision Trees, K-Means Clustering, Bagging, Boosting, Stacking
• Statistical Methods: Predictive Analysis, Hypothesis Testing and Confidence, Intervals, Principal Component Analysis and Dimensionality Reduction
• Programming Languages: Python, Core Java, Modern C++, MATLAB
• Scripting Language: Bash
• Version Control & DevOps: Git, GitHub, Docker
• Big Data: Hadoop, Spark, Hive
• IoT: AWS IoT
• Cloud Competency: Google Cloud, AWS
• Databases: PostgreSQL, MySQL
• Database Languages: SQL, HiveQL
• Libraries: NumPy, Pandas, OpenCV, scikit-learn, matplotlib
• Frameworks: Keras, TensorFlow, PyTorch, Flask, OpenVINO, Django