I believe that technology can solve tremendous problems with much data present around the world. To get myself equipped with all the necessary technical skills to solve these data-related problems, I have pursued post-graduation in Business Analysis and with my prior experience working with Python, SQL, Google Analytics, Excel, Web Scraping, Data Frames, Matplotlib, Seaborn, NumPy, Pandas Business Modelling, Linear Regression, K Nearest Neighbors, K Means Clustering, Decision Trees, Random Forests, Natural Language Processing, Spark, Data Pipelines, AWS, Python Libraries: sci-kit-learn, SciPy. It's also essential to solve real-life problems by understanding the business case study. I have equipped myself with Business modeling & stakeholder analysis, Translating requirements into Development Requests, Product Validation, and user acceptance testing.I have also experienced working in a team, rigorously working towards the sprint targets, and helping the stakeholders analyze the business through data and make business decisions based on the data analysis.