Jen Patrick
Nataba
I believe that good data should be useful, not just interesting. These days, you'll usually find me building data pipelines, training machine learning models, or creating dashboards that help turn questions into decisions.
"Fueled by curiosity, driven by data, and always chasing the "why" behind every data point."
Trusted by & Worked With
Professional Experience
A story of growth, impact, and continuous learning across data analytics, engineering, and machine learning.
Data Analyst Intern
Angat Buhay
Designed and delivered interactive dashboards across all advocacy pillars, translating operational requirements into actionable data models and visualizations for executive stakeholders.
Growth Analyst Intern
Booky
Analyzed large-scale user events and transactions, built multi-merchant performance analyses, and proactively explored ETL pipelines to extract event-level data for executive reporting.
Junior Machine Learning Engineer
Omdena
Led ML, data collection, and data engineering teams to forecast air quality trends, developing time series models and building real-time prediction dashboards.
Featured Projects
End-to-end solutions spanning data engineering, machine learning, and analytics.
ETL Pipeline for Data Lake & Warehouse on AWS
Developed an event driven ETL pipeline on AWS that orchestrates data ingestion from three public APIs into Amazon Redshift using AWS Lambda, Amazon S3, EventBridge, and the Redshift Data API. Implemented automated extraction, transformation, and loading workflows triggered by scheduled events and S3 object creation for near real time analytics.
Medallion Architecture ETL with Databricks & Power BI
Built an end to end medallion ETL pipeline on Databricks using Bronze, Silver, and Gold layers with PySpark and Delta Lake. Implemented incremental data loading using Delta MERGE to process relational e commerce data, transformed datasets into analytics ready tables for Power BI, and automated daily pipeline execution with Databricks Workflows.
ChurnBucket: B2B SaaS Customer Churn Prediction
Created an end-to-end machine learning pipeline for B2B SaaS customer churn prediction using XGBoost, automating data extraction, feature engineering, and customer risk classification.
Certifications & Courses
Industry-recognized certifications in data science, engineering, and computer science.
Certified Data Engineer
DataCamp
Associate Data Analyst
DataCamp
Industry Professional Credentials — IBM Data Science
IBM
CS50P: Introduction to Programming with Python
HarvardX
CS50x: Introduction to Computer Science
HarvardX
Talks & Events
Workshops and speaking engagements sharing knowledge with the community.
Building an End to End Data Pipeline with AWS
Speaker & Organizer
Spearheaded the planning and delivery of a hands on, face to face workshop at the AWS Office in BGC, Taguig, introducing attendees to data engineering on AWS. Guided participants through building a serverless ETL pipeline using Amazon S3, AWS Lambda, and Amazon Redshift, providing practical experience with modern cloud data workflows.
DataCamp Connect: From XP to eXPertise
Speaker
Invited to speak to incoming DataCamp Scholars about building a consistent learning routine and making the most of the platform. Also introduced the roles of Data Analysts, Data Engineers, and AI Practitioners to help participants choose a learning path aligned with their interests.
Data Decoded: Mastering Pandas for Real World Insights
Speaker
Led the planning and delivery of a hands on Pandas workshop that helped participants build a strong foundation in data manipulation. Demonstrated practical techniques for cleaning, transforming, organizing, and analyzing tabular data using Python.
Impact & Community
Driving data literacy and access to education through community initiatives and open-source contributions.
DataCamp Scholarships Distributed
Community Members Reached
Workshops Hosted/Led
Amazon Web Services Cloud Club PUP
Data Science and Analytics Lead – Skill Builders DepartmentLed the design and delivery of hands on workshops on AWS data engineering, guiding participants through building serverless ETL pipelines with Amazon S3, AWS Lambda, Amazon Redshift, and Amazon Athena while developing technical learning materials and mentoring students throughout the sessions.
DataCamp
Honorary Student AmbassadorRecognized as an Honorary DataCamp Classrooms Student Ambassador for expanding access to data and AI education, supporting the distribution of 1,100+ scholarship licenses and promoting active learning within the DataCamp community.
Google Developer Groups Organization
Data and Machine Learning Co-LeadCo-led the Data and Machine Learning team for a 300+ member community, organizing workshops, mentoring members, and driving technical initiatives in data analysis, data science, machine learning, and responsible AI.
What's Next?
Let's build something amazing together.
Whether you have a specific project in mind, need help navigating your data, or just want to explore possibilities, I'm always open to discussing new opportunities.