Junea Villano
@juneavillano
AI engineer and data analyst building user-first, accessible AI applications with Python, LLMs, and data pipelines.
What I'm looking for
I’m a BSIT graduate on a mission to bridge the gap between complex data and user-centric technology. With a foundation in Python and JavaScript and an industry background rooted in customer service, I don’t just write code—I design for the user, with a clear focus on accessibility, intuitive UI/UX, and scalable tools that make a tangible impact.
I’ve been building AI-powered solutions across wellness, education, and analytics, from an AI Fitness Coach (Streamlit + LLMs using BMR/TDEE for personalized workout and nutrition guidance) to AI Ausome, which uses DALL-E 3 to automate sensory-friendly worksheets for neurodivergent learners. On the data side, I’ve engineered end-to-end Telecom Churn & Sentiment Analysis using NLP, PCA, and K-Means clustering (from 7,000+ records), and conducted health informatics work using classification and regression models (Random Forest, MLP, SVR) to predict BMI and health risks—always aiming to turn data intelligence into actionable outcomes.
Experience
Work history, roles, and key accomplishments
Customer service representative.
I'm a chat support representative of a local telco account and we use a Salesforce.com system.
Apply knowledge of processes and related systems to assist in identifying, assessing, and resolving issues/problems.
Supported healthcare operations as an Administrative Clerk at The Medical City.
Education
Degrees, certifications, and relevant coursework
ICCT Colleges Foundation, Inc.
Bachelor of Science, Information Technology
2014 - 2017
Grade: 2.11
Activities and societies: Capstone Project Team, Industry Practicum & Technical Apprenticeship.
Specialized in Software Engineering, Database Management Systems, and Probability & Statistics. Completed an Industry Practicum and a comprehensive Capstone Project focused on software implementation.
Uplift Code Camp
Python Data and AI Bootcamp
2025 - 2025
Beginner Python programmer with hands-on experience in data analysis, visualization, and machine learning basics. Skilled in using Pandas and NumPy for data cleaning and exploration, and Matplotlib/Seaborn for building clear visualizations. Completed projects including an analysis of Filipino Household Income and Global Coffee Health datasets, applying regression, classification, and evaluation me
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
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