About Me
Kiel Hizon
Filipino software engineer and aspiring data scientist/ML engineer
I am currently working as a Data Analyst/Machine Learning Developer. I primarily work on optimizing business processes via integrated ML applications.
Skills and Experience
Digital Signal Processing
Extracting features from image, audio, tabular data using Python libraries.
Machine Learning / Deep Learning
Developing and evaluating models using Sci-kit Learn, and PyTorch
Data Analysis & Visualization
Extracts the story hidden in the data through SQL queries or Pandas, and creating visualizations and dashboards.
Work History
Software Engineer (May 2023-Present)
- Research and development of machine learning application for business uses.
Software Engineer (Feb 2021-Apr 2023)
- Build, test, debugging, and support enterprise web applications using various technologies and frameworks such as Angular, and Salesforce.
- Tracking and reporting the team’s progress using task trackers like Redmine and Macro Enabled Excel Spreadsheets
Application Development Associate (2019-2021)
- Building, maintaining, and executing automated test scripts using Tosca on Oracle ERP software. Worked with various clients such as government agencies, and multinational logistics companies.
- Tracking and reporting the team’s progress to stakeholders by summarizing data on pivot tables and charts.
Education
University of the Philippines Diliman
- Relevant Coursework: Statistics, Audio Signal Processing, Deep Learning, Machine Learning
- Affiliate, Digital Signal Processing Laboratory (DSP)
- Research interests: Deep Learning Models on Satellite Image Data
University of the Philippines Diliman
- Relevant coursework: Programming, Digital Image Processing, Digital Signals Processing, Machine Learning
- Affiliate, Digital Signal Processing Laboratory (DSP) with focus on image domain
- Worked on developing a machine learning model that detects flood destroyed areas from satellite images using post-typhoon Yolanda data.
- Served as Digital Image Processing instructor to high school students (from Philippines Science HS) doing their summer science internship in UP.
- Successfully completed the coursework, projects, and assessments associated with Data Scientist skills using Python
- Topics include data cleaning, data visualization, statistical analysis, supervised and unsupervised learning
- Passed two timed exams, and a case study to earn the certification.
- Successfully completed the 8-course Google Data Analytics Professional Certificate program available on Coursera.org.
Portfolio
Master predictive modeling with Scikit-Learn pipelines. Learn the importance of feature engineering and how to prevent data leakage.
In this short project, I scraped all of Lebron's regular season points and plotted them in an interactive graph.
In this project I analyzed a fitness center's attendance data to predict attendance rates of its group classes.
A marketing agency presents a promotional plan to a telecommunication company to increase its subscriber base and generate revenue. Using population and location data, we estimated the feasibility of this plan in this case study.
The tweet that started the trend was posted on June 12 (Philippine Independence day). On that tweet, the author stated that he dined in at a Tropical Hut branch, and he is their only customer. Despite the pandemic “restrictions”, commercial activity on malls and fast food chains are pretty much back to “normal”, so having only one customer is disheartening.
In this project I trained a transformer model to recognize words from audio.
In this article, I fine-tuned a pre-trained object detection model using a small custom dataset.
In this article, we will build a simple deep learning based demo application that can be accessed publicly in Hugging Face spaces
The rate at which unreliable news was spread online in the recent years was unprecedented. In this project, I finetuned some language models to make an unreliable news classifier.