Welcome to my portfolio! This space showcases my journey and achievements as I transition into a career in Data Analytics, building on my strong foundation in Mechanical Design and growing expertise in Data Engineering.
- Objective: Conducted an analysis to uncover factors influencing passenger survival.
- Highlights:
- Preprocessed the dataset, handling missing values and irrelevant features.
- Explored survival trends using Python libraries such as Matplotlib and Seaborn.
- Built and evaluated a predictive Random Forest Classifier with scikit-learn.
- Skills Used: Python, Pandas, Seaborn, Data Visualization, Machine Learning.
- A creative Python project showcasing programming and automation skills.
- Automated email-sending processes using Python, streamlining communication tasks.
- Built a secure password validation tool to enhance personal and enterprise-level security.
- Programming: Python (Data Analysis, Scripting), SQL (Entry-Level), VBA.
- Data Tools: Excel (Advanced), Tableau, Power BI.
- Data Visualization: Seaborn, Matplotlib.
- Mechanical Design: Creo 8.0, AutoCAD, SolidWorks.
- Other Skills: Data Cleaning, Exploratory Data Analysis (EDA), Predictive Modeling.
- Portfolio: ysayaovong.github.io
- GitHub: YSayaovong
- LinkedIn: YSayaovong
- Email: YSayaovong@gmail.com
🎯 Goal: To leverage my experience in engineering and data analytics to deliver actionable insights and data-driven decision-making solutions.