Almer John Sta. Ines

Almer is a data analyst at a tech company and a proud DOST Merit Scholar with a solid foundation in statistics. He specializes in data structures, quantitative research, machine learning, time-series analysis, and regression modeling. Known for his ability to turn complex data into clear, impactful visualizations, he also brings valuable experience in business analytics and data engineering to the table.

Joy Ellen Mae Yangyang

Ellen is a BS Statistics graduate with proven experience in data analysis, statistical modeling, and survey design. She has hands-on experience with both descriptive and inferential methods to extract meaningful insights from complex datasets, along with strong skills in machine learning, regression, and advanced analytical techniques. Her passion lies in transforming data into actionable intelligence for research and business solutions.

Dencie Mae Saguano

Dencie is a statistician with a strong background in data analysis, modeling, and interpretation. She brings clarity to complex data through thorough cleaning, insightful analysis, and effective visualization. With proven experience in regression and other statistical techniques, she helps uncover patterns, solve problems, and support confident, data-driven decisions. Her work is grounded in accuracy, attention to detail, and a commitment to delivering meaningful results.

Jerolle Nonato

Jerolle is a statistician with hands-on experience in survey design, data analysis, and statistical reporting. He has worked on improving questionnaires, generating insights from survey data, and presenting findings through clear visualizations. His academic and project work have equipped him with practical skills in descriptive statistics, hypothesis testing, time-series analysis, and regression modeling.

Roldan Libay, Jr.

Roldan is a results-oriented statistician with experience in data analysis, modeling, and interpreting time series and environmental data. He applies well-grounded statistical approaches to deliver clear insights, build predictive models, and support informed, data-driven decisions.

Wella Mae Tumampos

Wella has experience with data cleaning, exploratory data analysis, and statistical modeling using tools like R and Excel. She has worked on analyzing extreme rainfall data using GEV and GPD models, and is skilled in interpreting results and presenting them through clear, well-documented reports. Her academic background has strengthened her ability to handle real-world datasets and contribute effectively to collaborative research projects.

Juan Raphael Pimentel

Juan is a Statistics graduate with a strong grasp of core statistical concepts, particularly those covered through the Senior High School level. He has a good background in time-series analysis and regression modeling, and is able to explain and interpret results in a clear and simple manner.

Yzabel Teope

Yzabel is a detail-oriented statistician with experience in time series analysis and statistical modeling. She is skilled in producing clear, accurate, and well-structured statistical reports, supported by strong academic training and practical research experience.