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- Experience coding creatively in python and ability to write clean, maintainable and reusable code. Great knowledge of developer Tools and wide variety of libraries like Jupyter notebook, atom, git, github. Experience building automation tools with python, bash scripting and power shell. Testing and Q/A using pytest, travis and selenium. Deployment using docker, kubernetes.
- Experience in web scrapping with scrapy and beautifulsoup. Knowledge of dynamic web scraping and web testing with selenium. Building and integrating Apis . Experience with flask and django.
- Analyzing and manipulating data using pandas, numpy, scipy, wide variety of libraries. Data visualization using matplotlib, mplfinance, seaborn, bokeh, plotly.
- Experience creating and querying large databases with SQL. Familiar with postgresql, mysql, etc. Knowledge of ORM and familiar with sqlalchemy, django models.
- Regression, classification, ensemble Methods in sklearn; Natural language processing, neural networks (CNNs, RRNs, LSTMs), pytorch, keras; Model tuning.