The skills I bring to the table:

• Python: learned the application of Python data structures through data preparation and exploration in Pandas; developed advanced skills in Keras and TensorFlow libraries for deep learning model development; worked with SciPy, Sci-kit, Numba, PIL, Opencv libraries for algorithm design; explored Plotly and Seaborn packages for data visualization; explored concepts of string manipulation and regular expressions
• SQL/PostgreSQL: Learnt data profiling, data design, data mining, data manipulation, and retrieval on the fly; worked with organization level databases for production and research activities
• Statistics: developed skills in inferential and predictive statistics, such as correlation and regression