Data Wrangling • Gather data from multiple sources in a variety of formats • Assess the quality and tidiness of data visually and programmatically • Clean data, Load and Process data using Python and Pandas • Use Anaconda to manage programming environment, investigate a dataset using Python data analysis packages, Perform the entire data analysis process on a dataset         Practical Statistics • Apply inferential statistics and probability to real-world scenarios using Python • Create and analyze the results of hypothesis testing, Create and analyze A/B test results • Build regression models in Python         Data Visualization • Build visualizations using different design elements • Use visualizations to explore data, use visualizations to communicate insights • Build Predictive models using various machine learning tools to predict the possibility of equipment failures • Demonstrate knowledge and execution of application programing interface development and test    automation • Utilized analytical and technical expertise to provide insights and proposals to support business improvements • Conducted business analysis to understand business needs and requirements to translate into conceptual designs. • Actively engaged in the quantitative analysis of sophisticated modeling to address business issues