- A.I. : Machine/Deep Learning, eXplainable AI (XAI), Generative AI,
NLP & Language Modeling, Computer Vision, Clustering, Time Series - Math : Mathematical Calculus, Linear Algebra, Matrix Theory, Probability Theory, Statistics
Detailed work and educational history is available at my LinkedIn profile
- Programming: Python
- Database Management: PostgreSQL
- Version Control: Git
- Data Analysis Python Tools: Numpy, SciPy, Pandas, Seaborn, Matplotlib, Plotly
- Machine/Deep Learning Python libraries: sklearn, sktime, Keras, PyTorch, transformers, NLTK, OpenCV, librosa, NiBabel
- XAI Python libraries: lime, shap, pytorch-grad-cam
- Big Data Processing: Azure Databricks, PySpark
- MLOps tools: MLflow
- Visualizations/Presentations: MS Power BI, MS Office Tools