I have worked with datasets in Python and R utilizing packages like numpy, pandas, scikit-learn, seaborn, matplotlib, ggplot, astsa, syuzhet, general linear models, keras etc. to perform data cleaning, formatting, aggregation, visualization and analysis.
I have previous experience in Software Testing, Agile Methodologies, Automation and as a Teaching Assistant for Introduction to Statistics and Applied Statistics courses.
Programming Languages proficiency: Python, R, SQL
Tools I use: Anaconda, Spyder, R-studio, Minitab, Github, JMP.
Concentration: Linear Regression, Logistic Regression, Data Cleaning, Data Modelling, Data Visualization, Data Analysis, Sentiment Analysis, Classification Analysis.
Core Competencies: Data Analysis, Data Science, Machine Learning, NLP, Business Analysis, Software Testing.