📞 Contact

• Phone: 414-739-1246
• Location: Milwaukee, WI (Open to Relocation)
• Email: YSayaovong@gmail.com
• LinkedIn: linkedin.com/in/ysayaovong
• GitHub: github.com/YSayaovong
• Portfolio: ysayaovong.github.io/Portfolio

Data Analysis Experienced Mechanical Designer with nearly 5 years of expertise in optimizing workflows and collaborating with cross-functional teams. Currently completing a Data Engineer internship, applying skills in data analysis, pipeline development, and automation. Proficient in using tools like Python, SQL, and Excel for data-driven problem-solving. Pursuing a Bachelor’s in IT to enhance analytical capabilities and build expertise in visualization tools like Tableau and Power BI. Committed to leveraging engineering and analytical experience to uncover insights and drive data-informed decision-making.

Data Engineer Intern | Refonte Infini – Remote 11/2024 – Present

• Assisted in basic data cleaning and preprocessing tasks, ensuring data quality for preliminary analysis.
• Conducted exploratory data analysis (EDA) to identify general trends and patterns, gaining hands-on experience with Python and data visualization tools.\
• Supported feature engineering and model development under supervision, contributing to the preparation of data for predictive modeling.
• Documented data processing steps in Jupyter Notebook to establish a reproducible workflow.

Mechanical Designer | Prolec-GE Waukesha – Waukesha, WI 10/2020 – Present

• Design & Detailing: Designed and detailed transformers and drafted nameplates using CREO 8.0, ensuring compliance with industry standards and high precision in all design aspects.
• Quality Assurance: Conducted comprehensive quality checks on transformer designs, identifying and rectifying issues to maintain stringent quality standards.
• Process Improvement: Led multiple process optimization initiatives, resulting in a 10% increase in design efficiency and a significant reduction in errors.
• Code Debugging: Debugged C++ code for design automation tools, improving the efficiency and accuracy of workflows and reducing time spent on repetitive tasks.
• Training & Development: Trained new hires, developing a structured training program that includes hands-on sessions and written guides to ensure new team members meet performance standards.
• Project Management: Created and managed an Excel-based project tracker, providing real-time insights into project progress, error rates, and completion timelines, facilitating data-driven decision-making.
• Team Leadership: Led team meetings to discuss ongoing projects, resolve design challenges, and align team members on objectives, fostering a collaborative environment.
• Data-Driven Visualizations: Developed automated visualizations to analyze error trends over time, utilizing line and pie charts in Excel to support quality control and continuous improvement efforts.
• Documentation & Standardization: Authored a comprehensive training manual and standardized procedures, enhancing team consistency and reducing onboarding time for new hires.

• B.S., Information Technology; Minor in Music | Arizona State University, 2022 - Present
• Data Analyst Career Path | Zero to Mastery, 2024 - Present
• Data Analyst in Python Career Path | DataCamp, 2024 - Present
• A.S., Mechanical Design Technology | Milwaukee Area Technical College, 2017 - 2021

Mechanical Design

• Software: Creo 8.0, AutoCAD, SolidWorks (basic).
• Process Improvement: Root cause analysis, workflow optimization, and quality assurance.
• Project Tracking: Excel dashboards for tracking metrics, timelines, and error rates.

Programming & Automation

• Python: Data manipulation, automation scripting, and visualization (intermediate).
• C++: Debugging for automation tools (advanced).
• VBA for Excel: Automation of repetitive tasks, reporting, and dashboards.

Data Analysis & Engineering

• EDA: Pandas, Seaborn, Matplotlib.
• Machine Learning: scikit-learn for model development and evaluation.
• SQL: Foundational query skills for data retrieval and manipulation.

November 2024

• Preprocessed and analyzed the Titanic dataset to uncover survival factors.
• Developed a Random Forest Classifier using scikit-learn and evaluated model performance.
• Created insightful visualizations with Seaborn and Matplotlib.
• GitHub Repository: Titanic Dataset Analysis

• NBA Game Performance Analytics | Analysis of team performance during the 2022-23 season using nba_api.
• The Creature | Text-based adventure game using Python.