Antipolo, Calabarzon, Philippines
A BS Statistics graduate with computer science electives from the University of the Philippines Los Baños, passionate about leveraging data analytics, data science, and machine learning to uncover actionable insights. My strong foundation in statistical analysis, combined with programming skills in Python, R, and SQL, allows me to tackle complex data challenges. Check out my projects on data management, modeling, visualization with this link: https://github.com/AJQuinlat
• Utilized Time Series Forecasting in R to predict the completion time of PhilSys ID registration • Implemented geospatial data visualization of PhisSys ID registration using Python that was presented to stakeholders. • Developed advanced Microsoft Excel templates and data visualizations to streamline event feedback processes, reducing response time. • Authored and released special reports on farmgate prices, driving stakeholder engagement and informed decision-making in agricultural markets.