Professional Summary

Final-year Data Science student with hands-on experience in machine learning, data analysis, and software development. Proficient in Python, SQL, and R with a strong ability to develop and deploy data-driven solutions to solve complex problems. Demonstrated success in automating workflows, optimizing processes, and extracting actionable insights from large datasets. Eager to leverage my analytical skills and technical expertise in a dynamic environment, contributing to impactful data science and machine learning projects.

Skills

• Programming Languages: Python, SQL, R
• Web Technologies: Flask, HTML, CSS
• Data Analysis & Machine Learning: Scikit-learn, pandas, Linear Regression, Feature Engineering
• Data Visualization: Tableau
• Tools & Technologies: Google Cloud, Azure, AWS, Jupyter Notebook
• Data Processing: Data Wrangling, Feature Extraction, Text Processing (NLP)

Work Experience

Test Engineer | Analog Devices

2020 - 2023

• Collaborated with cross-functional teams to design hardware schematics and develop test programs using Visual Basic and C++ for 5 new product introductions.
• Handled a customer corrective action to resolve issues and maintain high product standards.
• Led qualifications for new processes or fabrications for a product with multiple variations.
• Optimized testing processes for 10 products, leading to the release of 40 setups and significant resource savings.

Education

Master of Data Science | RMIT University

2023-2024 | GPA: 3.6 (4.0 scale)

Bachelor of Electronics Engineering | University of San Carlos

2014-2019 | GWA: 1.89 (1.0 scale)

Projects

• User Identification from Walking Activity Data

  Developed a system with 97% accuracy using accelerometer data, implemented in Python. Conducted data preprocessing, feature extraction, and hyperparameter tuning for optimized classifiers.

  GitHub Repository

• Job Search Web Application

  Built a Flask web app that allows users to search for jobs by category, and post job advertisements. Used NLP techniques for job category recommendations with 87% accuracy.

  GitHub Repository

Certifications

• Microsoft Certified: Azure Data Fundamentals
• Google Data Analytics Professional Certificate
• Google Cloud Introduction to Generative AI