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Hello,
world!
world!
I am a fourth-year BS Computer Science student at the University of the East, with 2 years of experience in data science projects.
I am passionate about exploring machine learning applications, having applied supervised learning models to numerical, textual, visual, and auditory data.
These are some of the projects I have worked on, using data to uncover insights and turn them into real-world impact. Whether through AI, analytics, or machine learning, I strive to create practical solutions that address meaningful challenges.
A data analysis and forecasting report of Juls Burgers and Fruit Shakes' sales from May 2024 to March 2025 data
A database of 5,000+ frequency-transformed multilingual audio files stored in AWS for pattern analysis
A research study about custom camera-vision model with 92% mean precision score to detect bicycle traffic
A thesis proposal combining cryptography and steganography to secure 14 privacy-related metadata
As a university scholar, these projects have been a significant part of my learning journey. Each one challenged me to apply data science and AI concepts in meaningful ways, strengthening my skills and deepening my understanding.
A statistical study that forecasts the budget allocation of DICT using 8 statistical theories for the next 4 years
A camera vision project that incorporates Artificial Intelligence, hardware, and software for surveillance
A web application featuring 5 CPU scheduling calculator using Python and developed through Flask framework
A virtual information system trained from 40,000+ words from the official handbook of the university
I am actively exploring new ideas in AI and data, experimenting with different techniques to uncover patterns, enhance decision-making, and push the boundaries of what is possible.
A case study from 10+ years of daily historical data to predict stock prices using Long Short-term Memory Networks
A text analysis and network visualization project to analyze 2000+ newly declassified JFK assassination documents
A hackathon output that proposes the detection of 10 different road anomalies to calculate pavement condition
A hackathon output that generates lists of food commodities according to region and budget
Recognitions
These recognitions serve as reminders of the hard work, passion, and dedication I pour into my journey. They keep me grounded, knowing there is always more to learn, and empowered to keep improving in data science and AI.
Community & Collaboration
I am grateful to be part of communities that have shaped my growth and perspective. Through these organizations, I have learned, contributed, and connected with mentors and peers who continue to inspire me.
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