About Me

Chazztin Pascual,

I'm a Bay Area native, born in San Francisco, CA, and spent part of my formative years at St. Mary's International School, a boarding school in Japan. Later, I pursued my college education at UC Berkeley before living in Los Angeles for a few years

I have over a decade of experience in the tech industry. Growing up in the Silicon Valley has deepened my passion for computers and technology. I take pride in my Bay Area roots; the region's rich history and its vibrant community have shaped who I am today.

Earlier this year, I married a wonderful woman, my wife Trinity Pascual. We are expecting our first child this August and are excited to experience parenthood for the first time.

The Skills I offer to your Business

Statistical Analysis: Proficiency in statistical methods and tools to analyze data distributions, correlations, trends, and significance.

Data Mining: Ability to extract and interpret data from various sources using advanced querying languages and techniques.

Data Cleaning and Transformation: Skills in cleaning and preprocessing raw data to ensure accuracy, completeness, and consistency.

Data Visualization: Expertise in creating insightful visualizations (charts, graphs, dashboards) to effectively communicate findings to stakeholders.

Machine Learning: Familiarity with basic machine learning concepts and algorithms for predictive analysis and clustering.

Programming Languages: Proficiency in languages such as SQL for database querying, and often in scripting languages like Python or R for data manipulation and analysis.

Database Management: Knowledge of database systems (SQL and NoSQL) and proficiency in managing and querying large datasets.

Advanced Excel Skills: Mastery in Excel for data analysis, including pivot tables, data connections, and complex formulas.

Critical Thinking and Problem-Solving: Ability to approach complex problems logically and derive insights that drive business decisions.

Domain Knowledge: Understanding of the specific industry or domain (e.g., finance, healthcare, e-commerce) to contextualize data analysis and insights effectively.

Data Warehousing: Familiarity with data warehousing concepts and tools for handling large volumes of data.

Data Governance and Compliance: Knowledge of data governance practices and compliance requirements (e.g., GDPR, HIPAA) related to data handling and analysis.

Communication and Presentation Skills: Ability to effectively communicate findings and insights to non-technical stakeholders through reports, presentations, and visualizations.

Project Management: Experience in managing data analysis projects from start to finish, including defining objectives, timelines, and deliverables.

Ethical Considerations: Awareness of ethical considerations related to data privacy, confidentiality, and bias in data analysis.