Programming, Data Analytics, Machine Learning (supervised, unsupervised, deep learning), Databases (data warehouse, distributed database), Data Mining, Association Rules, Data Visualization, Recommendation, Statistics, Natural Language Processing, Big Data
Python (Pandas, Numpy, Matplotlib, Seaborn, Scikit-learn, Keras, TensorFlow, XGBoost, LightGBM, PySpark, Librosa, NLTK, BERT, Transformer, T5, Django, Selenium, BeautifulSoup), SQL, NoSQL, PostgreSQL, Git/GitHub, Jupyter Notebook, VS Code, Tableau, Excel, HTML, CSS, JavaScript, RESTful API, Command Line, AWS (EC2, S3, Kinesis, DynamoDB, Lambda, Glue, Athena, EMR, SageMaker, Elasticsearch, Redshift, QuickSight)