With a Master of Management in Business Data Analytics from the University of Windsor, I am a data science professional who is passionate about analyzing and discovering meaningful insights from data. I have a strong background in statistical analysis, model building, data extraction, and data manipulation using various tools, such as Python, SQL, ML Flow, MS Excel, Tableau, and Docker.As a Data Scientist at Applied Data Finance, I built machine learning models to predict the repayment behavior of loan borrowers, optimizing metrics like KS and log loss. I also performed data analysis of the loan product's performance and generated reports and dashboards for the stakeholders, using Python, SQL, Tableau, and MS Excel. I was awarded the Star Employee of the Quarter award for my contributions. Additionally, I enjoy writing blogs and participating in open discussions about data science topics, as I strive to share my knowledge and advance my skills.
Listed skills include Python, Microsoft Office, Microsoft Word, Data Analysis, and 7 others.