Skip to content
View clayy-esc's full-sized avatar

Highlights

  • Pro

Block or report clayy-esc

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
clayy-esc/README.md

Typing SVG

DATA SCIENCE • AI/ML • WEB DEV • CLOUD



LinkedIn Kaggle GitHub Email


Hits



> about.sh_

Computer Science graduate specializing in data analytics, artificial intelligence, web development, and cloud infrastructures. Experienced in analyzing and transforming raw data into data-driven insights, designing interactive dashboards, and developing web applications deployed across multiple cloud platforms.



> stack.sh_

Languages & Data
Python SQL Pandas NumPy Matplotlib Seaborn Scikit--Learn

Web
HTML CSS JavaScript React Tailwind Flask

Cloud & Data Platforms
BigQuery Neon Postgres Power BI AWS Docker

Tools & Design
GitHub Figma Illustrator Colab Jupyter Vercel Render HuggingFace



> projects.sh_

 

PROJECT 01 MediaScopePH: Entity-Level Framing of News Coverage on the West Philippine Sea Dispute React · Vite · TailwindCSS · Vercel · Render · Neon PostgreSQL · HuggingFace

  • Developed a web-based dashboard to analyze framing patterns across local and international news outlets, facilitating comparative analysis of entity portrayal across sources.
  • Integrated a pre-trained NER and cloud-hosted transformer models to perform entity-level framing predictions, enabling real-time classification and automated entity selection.
  • Deployed the application across a distributed cloud stack to manage hosting and database, ensuring reliable public access and persistent storage of analysis results.
 

PROJECT 02 Power BI: Employee Attrition & HR Analytics Dashboard Google BigQuery · SQL · Power BI · DAX

  • Created a 5-page Power BI dashboard connected to BigQuery to track attrition across 5,000 employees, surfacing an 18% overall attrition rate, peaking at 24% in Customer Support.
  • Developed 16 DAX measures to transform raw HR data into actionable KPIs, highlighting a 1.3 higher burnout score and a 0.5 wider promotional gap among departing employees.
 

PROJECT 03 Music Listener Segmentation: Behavioral Clustering Kaggle · Scikit-Learn · Python · Pandas · NumPy · Matplotlib · Seaborn

  • Built a K-Means model to analyze 4,000 listener records for behavior-based personas, delivering 6 interpretable segments validated as free from demographic bias.
  • Engineered a feature pipeline to resolve a 0.98 multicollinearity issue and outlier splits, producing a production-ready pipeline for real-time persona scoring.
 

PROJECT 04 Web Crawling and Scraping with Scrapy: Job Data Extraction from OnlineJobsPH Python · Scrapy

  • Built an automated Scrapy spider to extract job postings from OnlineJobsPH, structuring the scraped data into clean formats for downstream analysis.
  • Implemented custom item pipelines to clean text and remove duplicate entries, exporting production-ready JSON files for seamless database integration.
 

PROJECT 05 Power BI: Pizza Sales Analytics Dashboard Power BI · DAX · Power Query

  • Designed a 3-page Power BI dashboard to track a full year of sales, linking multiple relational tables to build a unified view of daily order metrics.
  • Developed custom DAX measures and a Menu Engineering Matrix to rank top and bottom-selling pizzas, providing clear insights to guide menu updates and promotions.


> exercises.sh_

 

EXERCISE 01 Visualizing the History of Nobel Prize Winners Python · Pandas · NumPy · Matplotlib · Seaborn

  • Analyzed 122 years of Nobel Prize records to track winner demographics, identifying US-born men as the most common recipients while highlighting historical first figures.
 

EXERCISE 02 Exploring NYC Public School Test Result Scores Python · Pandas · Matplotlib

  • Filtered NYC public school data to rank top institutions by total SAT scores, computing standard deviations by borough to pinpoint where educational performance gaps were widest.
 

EXERCISE 03 Getting a Good Sleep at Night Python · Pandas · Matplotlib

  • Grouped health records for 374 individuals by occupation and BMI to evaluate sleep quality, revealing the top 5 at-risk professions and confirming that insomnia correlates with BMI.
 

EXERCISE 04 Investigating Netflix Movies Python · Pandas · NumPy · Matplotlib

  • Filtered Netflix’s 2000–2010 movie catalog by genre and runtime, determining the most frequent type of movie released on the platform during that decade.
 

EXERCISE 05 Uncovering the Oldest Businesses in the World Python · Pandas

  • Merged multiple datasets using inner, outer, left, and right joins to organize historical commerce data, mapping the world's oldest continuously operating businesses by country and industry.


> stats.sh_

GitHub Streak


> quote.sh_

> "Progress over perfection — every project is a chance to learn, refine, and build something a little better."



Thank you for visiting!

Pinned Loading

  1. Music-Listener-Segmentation-using-Behavioral-Clustering Music-Listener-Segmentation-using-Behavioral-Clustering Public

    Machine learning project segmenting 4,000 music streaming listeners into 6 distinct behavioral personas using K-Means clustering and scikit-learn pipelines.

    Jupyter Notebook

  2. Entity-Level-Framing-of-News-Coverage-on-the-West-Philippine-Sea-Dispute Entity-Level-Framing-of-News-Coverage-on-the-West-Philippine-Sea-Dispute Public

    Media Scope PH: Entity-Level Framing of News Coverage on the West Philippine Sea Dispute Using RoBERTa and BERT-Based Transformer Models

    JavaScript

  3. Employee-Attrition-and-HR-Analytics-Dashboard Employee-Attrition-and-HR-Analytics-Dashboard Public

    Interactive Power BI dashboard analyzing employee attrition, burnout drivers, and workplace sentiment toward AI using BigQuery, SQL, and DAX.

  4. PowerBI-Pizza-Sales-Analytics-Dashboard PowerBI-Pizza-Sales-Analytics-Dashboard Public

    Interactive Power BI dashboard analyzing pizza sales trends, customer purchasing behavior, and menu optimization using DAX and Power Query.

  5. Web-Crawling-and-Scraping-with-Scrapy__Job-Data-Extraction-from-OnlineJobsPH Web-Crawling-and-Scraping-with-Scrapy__Job-Data-Extraction-from-OnlineJobsPH Public

    Automated Scrapy web crawler for extracting, cleaning, and structuring job listings data from OnlineJobsPH into JSON format.

    Jupyter Notebook

  6. Uncovering-Oldest-Businesses-in-the-World Uncovering-Oldest-Businesses-in-the-World Public

    Exploratory data analysis uncovering global historical businesses by applying relational join techniques (Inner, Left, Right, Outer) on multi-table datasets in Pandas.

    Jupyter Notebook