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  • Royal Caribbean Group
  • Manila, Philippines
  • 18:21 (UTC +08:00)
  • LinkedIn in/jhermienpaul

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jhermienpaul/README.md

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Hey, I’m Jhermien👋

Data Science and Analytics Professional
Enabling smarter decisions with robust analytics, enterprise-grade BI, and production-ready data solutions

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👨‍💻 About Me

I'm a Filipino data science and analytics professional with over 3 years of experience generating data-driven solutions and impactful insights across diverse sectors, including travel, retail, and ecommerce. I held data analyst roles at Fortune 500 companies, where I consistently leveraged my technical skills to resolve complex business challenges, inform strategic decisions, and drive measurable outcomes.

I possess expertise in descriptive, diagnostic, and predictive analytics, supported by proficiency in SQL, Power BI, Tableau, Python, and R. My primary interest revolves around comprehensive business intelligence development—from constructing robust data pipelines to delivering automated reports or building dynamic dashboards, designed for clarity, usability, and actionable insights.

I'm currently engaged in integrating machine learning methodologies and UI/UX design principles into BI solutions to improve analytical accuracy and end-user experience. I also advocate for the ethical application of artificial intelligence in analytics workflows, ensuring that AI-augmented projects operate with transparency, accountability, and integrity.

I excel in intellectually stimulating environments, where my analytical rigor and innovative mindset consistently contribute to organizational growth and sustained success.


🧠 Skillset

ETL Data Wrangling Data Modeling Exploratory Data Analysis Data Visualization Data Storytelling Dashboard Development A/B Testing Machine Learning

🛠️ Tech Stack

Python R SQL Power BI Tableau Databricks Oracle Snowflake BigQuery Excel


I eat data for breakfast!

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    Projects and labs from the 6-course IBM Machine Learning Professional Certificate program, focused on Python-based supervised and unsupervised learning, deep learning, and reinforcement learning

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    Practical exercises and resources from the 12-course IBM Data Science Professional Certificate program, tackling DS fundamentals, machine learning, data analysis, and visualization using Python

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    Hands-on learning materials from the 8-course Google Advanced Data Analytics Professional Certificate program, covering EDA approaches, statistics, and basic ML techniques using Python

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