Mary Grace M.

With a robust academic foundation in key data-driven technologies like Python, MySQL Workbench, Neo4J, R, SPSS, and SAP Analytics Cloud, I excel in data cleaning, wrangling, modeling, and visualisation. My experience spans complex projects, including predictive modeling for Airbnb pricing and medical appointment no-shows using R's libraries. I've also expertly used MySQL for multi-dimensional analysis and harnessed Neo4J's Cypher for efficient data querying. My accounting background adds a valuable layer to data analysis, ensuring compliance, financial insights, and operational efficiency. My genuine love for data and an insatiable drive for investigative problem-solving make me akin to a data enthusiast, relentlessly seeking solutions. Despite my accounting past, my passion lies in applying my academic learning to real-world scenarios as a Business/Data Analyst, where I can leverage my data expertise for informed decision-making and drive actionable insights.