Languages: Python, R, SQL, Java, C
Cloud Tools: Jupyter notebook, VS Code, Neptune AI, Google Cloud Platform, Amazon SageMaker, Amazon Redshift ML, Github, Gitlab, Bitbucket, CI/CD pipeline, ETL/ELT, Docker, Azure, Streamlit
Statistical Methods and A/B testing: Exploratory Data Analysis, Hypothesis Testing, Regression Analysis, Significance Tests (Z-test, t-test, F-test)
Data Analysis: Dask, Numpy, Pandas, Scipy, Statmodels
Machine Learning Libraries: Keras, Scikit-Learn, TensorFlow, Pytorch
Big Data: Pyspark, Apache Hadoop, Apache Spark
Large language model: DynamicFewShotGPTClassifier, PaLMClassifier, LIma, Bert
Data Visualization: Matplotlib, Tableau, Power BI, Seaborn, ggplot, Plotly, Geoplotlib
Natural language processing: LDA, LSA, Word Embeddings, Vectorization, Spacy, NLTK, NER, TF-IDF