A business analyst with a strong focus on data analysis and statistical methods. I have experience in organizing meetings, managing databases, and preparing various documents. My academic projects have allowed me to apply my skills and tools in Python, SQL, and data analysis to solve business problems and gain insights.
In terms of technical skills, I am proficient in statistical methods such as univariate and bivariate analysis, hypothesis testing, and regression. I also have knowledge of predictive analysis techniques including machine learning, dimensionality reduction, and classification algorithms such as decision trees, SVM, logistic regression, and random forest.
I have programming experience in Python and have worked with database languages like MySQL. Additionally, I am familiar with data reporting tools such as Tableau and Power BI. My analytical skills and strong numeracy abilities enable me to analyze and manipulate large datasets effectively.
Communication is another strength, as I possess effective verbal and written communication skills. I am able to provide task status updates and share knowledge with others. My typing skills, with a minimum speed of 25 words per minute, allow me to capture data accurately.
Overall, I am a dedicated business analyst who enjoys transforming data into meaningful insights using statistical methods and machine learning techniques. I have a solid educational background in data science and business analytics, with a PGP in Data Science and Business Analytics from Great Lakes Institute of Management and The University of Texas at Austin.