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Hello, I'm

Lance Baraña

a Data Analyst

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About Me

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Experience

2+ years
Data and Business Analytics

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Education

Bachelor of Science in Computer Science
Master of Science in Business Analytics

Hi! I'm a detail-oriented and passionate Data/Business Analyst with a strong enthusiasm for all things tech. Currently pursuing my Master’s degree in Business Analytics, I specialize in transforming data into actionable insights that drive business decisions. With hands-on experience in tools like SQL, Python, Power BI, and cloud platforms, I bring both analytical rigor and creative problem-solving to the table. Whether it's optimizing performance dashboards, streamlining data pipelines, or uncovering patterns in complex datasets, I thrive on solving real-world problems with data-driven solutions.

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Explore My

Experience

Data Analysis Tools

Power BI

Experienced

SQL

Experienced

Excel

Advanced

Python (Pandas, NumPy)

Intermediate

Tableau

Intermediate

Looker Studio

Basic

AI & Automation Tools

ChatGPT / LLM APIs

Intermediate

Python Automation (Selenium, Scripts)

Intermediate

Power Automate

Basic

Zapier / Make

Basic

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Browse My Recent

Projects

Project 1

Project One

Project 2

Project Two

Project 3

Project Three

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Here are my latest

Certifications

Data Modeling & Management Systems University of California, San Diego
Big Data Integration and Processing University of California, San Diego
Machine Learning with Big Data University of California, San Diego
Graph Analytics University of California, San Diego
Introduction to Machine Learning Quantic School of Business and Technology
Microsoft Power BI Data Analyst Professional Microsoft
Google Data Analytics Professional Google
C2 Proficient English Certificate EF SET
Data Analytics Essentials Cisco

Research & Publications

Language Mapping of the Philippines Using Relational Model

a web-based portal that maps the diverse languages of the Philippines using relational data modeling to support cultural preservation, education, and regional understanding

Unfair Clause Identification through Weighted Average Ensemble using LLM Transformers, CNNs, and LSTMs

This research presents a Weighted Average Ensemble model combining LLMs, CNNs, and LSTMs to identify unfair privacy policy clauses aligned with the Philippine Data Privacy Act.

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