| I'm Zach. Bridging leadership, data,
and the web for continuous growth.
Zach Riane Machacon
about me.

Zach Riane Machacon is a proficient software and machine learning engineer with a robust educational foundation in Computer Engineering from the University of San Carlos. His leadership acumen is evidenced by his transformative role in expanding the Google Developer Student Clubs - San Carlos. In his professional journey, he has adeptly navigated the realms of web development and machine learning, demonstrating a commitment to excellence through his contributions to projects like Project Taytayan and innovative research endeavors. With a penchant for data organization and an eye for detail, Zach's methodical approach to problem-solving and project execution sets a high standard within the technology sector.

tools.
pytorch tensorflow python selenium chartjs pandas scikit_learn seaborn html5 css3 javascript react next.js tailwind django php java arduino c cplusplus
experience.
Image for Full-stack Web Developer

Full-stack Web Developer

Project Taytayan

12/2023 - Present

  • Modeled NoSQL databases for efficiency.
  • Crafted website components with precision including forms.
  • Ensured seamless user experience through testing.
Image for Data Science Officer

Data Science Officer

Google Developer Student Clubs - University of San Carlos

09/2023 - Present

  • Spearheaded scholarship distribution to 80+ students, providing access to DataCamp's resources.
  • Monitored progress and provided detailed reports.
  • Designed tailored assignments for data science concepts reinforcement.
Image for Lead

Lead

Google Developer Student Clubs - University of San Carlos

08/2022 - 07/2023

  • Increased member count from 246 to 311 and hosted 8 successful events.
  • Accommodated 1000+ participants covering various topics.
  • Expanded officer and member portfolios through internships and clubs.
Image for Client Success Intern

Client Success Intern

Dashlabs.ai (YC W21)

12/2022 - 03/2023

  • Spearheaded B2C communications for prompt issue resolution and enhanced satisfaction.
  • Managed meetings and reports for B2C analytics, optimizing strategies.
  • Contributed to lead generation and client base expansion through effective marketing.
View full resume
featured projects.
Image for Image Classification of Omnivores and Herbivores using the CIFAR-100 Dataset

Image Classification of Omnivores and Herbivores using the CIFAR-100 Dataset

03/2024

  • The project aims to classify images into two categories: omnivores and herbivores, utilizing the CIFAR-100 dataset.
  • After 300 epochs of initial training and transfer learning, the model yielded testing accuracy of 0.79, accompanied by a testing loss of 1.53.
Python
TensorFlow
Image for Project Taytayan - A Centralized Hub for Trainings and Jobs

Project Taytayan - A Centralized Hub for Trainings and Jobs

01/2024

  • The web application provides a platform for users to register for different local trainings.
  • The web application also provides a means for training centers and professionals to help open up employment opportunities for out-of-school youth within the local community through upskilling.
  • This project was submitted to the 2024 Google Solutions Challenge.
Next.js
Tailwind
Firebase
Image for Accred - An On-demand Event E-Certificate Generator Web App

Accred - An On-demand Event E-Certificate Generator Web App

05/2023

  • Accred automates the certificate generation process and eliminates the need for storing them in the cloud.
  • It generates certificates on-demand, ensuring that no unnecessary data is stored and saving valuable storage space.
  • Used in PyCon PH 2024, and in Google Developer Student Clubs - University of San Carlos events.
Next.js
Tailwind
Firebase
Image for Singapore Exchange Derivative Downloader

Singapore Exchange Derivative Downloader

05/2023

  • A Python script which downloads daily derivatives from Singapore Exchange.
  • It accepts Linux commands and config files.
Python
Image for Predicting Filipino Students' Employability Based on Mock Interview Results

Predicting Filipino Students' Employability Based on Mock Interview Results

05/2023

  • A machine learning project predicting Filipino Student employability through Mock Interview Results using Logistic Regression, K-Nearest Neighbors, and Support Vector Machine.
  • KNN Clasification managed to get the highest accuracy at around 87%, followed by SVM (RBF) at 86%, Logistic Regression at 60%, and SVM (Linear) at 59%.
Python
Sci-kit Learn
Seaborn
matplotlib
pandas
Image for Gender and Economic-centric Approach on Life Satisfaction

Gender and Economic-centric Approach on Life Satisfaction

12/2022

  • Concluded that based on the Pearson Correlation Coefficient, GDP per capita and suicide rate have a very weak, negative linear relationship. This shows that suicide rates are not heavily correlated with the economic status of the country.
  • It is proof that suicide can happen in first-world or third-world countries and that the risk of suicide is probable to anyone without relation to their status.
Python
Seaborn
matplotlib
pandas
View all projects
contact me.