A Data Analyst utilizing Looker Studio, PostgreSQL, Python, Google Sheets
My LinkedIn Profile: https://www.linkedin.com/in/jethro-elijah-bolima
Regional Monitoring and Evaluation Officer @ DSWD Field Office 7 (September 2024 - January 2026)
Performs analysis and recommendations gathered from data received from the Pantawid Pamilyang Pilipino Program, or 4Ps, National Program Management Office, creates monitoring tools, and creates and manages data banks.
Lead developer of the 4Ps Regional Dashboard of Field Office VII
Also designated as the Regional Risk Management and Quality Assurance Focal who is primarily responsible in identifying, assessing, characterizing, communicating, and responding to the different risks that may impede effective program implementation of 4Ps in the Field Offices.
Manages 4Ps data requests for partner agencies and stakeholders.
Business Support Analyst @ Catapult powered by Magaya (August 2019 - September 2021)
Analyzed and maintained competitive freight rates (ocean and ground) including surcharges to determine the most economical modes of moving goods from point A to point B.
PhD, Data Science (Currently Studying) | University of the Philippines Diliman, concurred by UP Cebu
M.S., Mathematics | University of San Carlos at Cebu (June 2023)
B.S., Mathematics | University of San Carlos at Cebu (May 2019)
Awarded the "Rookie of the Year" Award in 4Ps Region 7
Acted as a Resource Person for the following trainings:
Roll-Out Training for Data Quality Assurance using Python
Social Welfare Development Indicator (SWDI) Conference
4Ps Learning Week: Excel Tips and Tricks to Boost Productivity
Training of Trainers on the Enhanced SWDI Tool
Technical Skills: Looker Studio, PostgreSQL, Python, Google Sheets, Excel, R
Google Data Analytics Certificate
includes R Tidyverse, BigQuery
Tableau Advanced: Master Tableau in Data Science
includes data blending, Level of Detail Calculations, spatial analysis, data modeling, data visualization etiquettes
includes CTEs, window functions, table transactions, views, stored procedures
Python for Data Science and Machine Learning
includes Pandas, Seaborn, Plotly, Scikit-Learn, Machine Learning Algorithms, Keras
PL-300 certification: Microsoft Power BI Data Analyst
includes DAX, M language, relationships, comprehensive overview of Power BI and Power Query
Introduction to Time Series Analysis and Forecasting in R
includes time series analysis, irregular time series, exponential smoothing, ARIMA, statistics