Skip to content
View Elgecko22's full-sized avatar
🎯
Focusing
🎯
Focusing

Block or report Elgecko22

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.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

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

Report abuse
Elgecko22/README.md

👋 Welcome! I'm Anthony Partida

A Business Administration student at Cal Poly, San Luis Obispo, concentrating in Information Systems, passionate about data analytics, business intelligence, and technology-driven problem solving.


About Me

As a student and aspiring data analyst, I bring a blend of academic experience, hands-on projects, and real-world leadership. At Cal Poly, I’ve developed technical skills through coursework and certifications in R (Studio), Python, and data analytics, while applying them in capstone projects, business case analyses, and internship work.

My professional background includes leading lifeguard teams as a Head Guard and mentoring incoming transfer students. I excel in roles that require cross-functional coordination, team work, and data-driven insight.

Whether it's building dashboards, analyzing data sets, or optimizing business processes, I focus on clarity, efficiency, and impact. I’m actively pursuing roles in Data Analytics or Data Science.


Contact Me


Skills Snapshot

Languages & Libraries

  • Python (Pandas, NumPy, Matplotlib, Scikit-Learn)
  • SQL (MySQL, PostgreSQL)
  • R

Data Analytics & Visualization

  • Tableau
  • Power BI
  • Excel (PivotTables, VLOOKUP, charts)

☁Tools & Tech

  • GitHub
  • Jupyter Notebook
  • Anaconda
  • R Studio

Featured Projects

SpaceX Landing Prediction (IBM Capstone Project)

Goal: Predict whether SpaceX Falcon 9 rocket boosters will land successfully.

  • Cleaned and merged launch data using SpaceX API and Wikipedia scraping.
  • Engineered features like payload mass, orbit type, and launch site.
  • Trained classification models with up to 92% accuracy (Random Forest w/ GridSearchCV).
  • Delivered insights via Plotly visualizations and Dash application.

SBA Loan Default Risk Analysis

Goal: Predict SBA loan default risk and uncover the drivers behind high-risk loans.

  • Built classification models in Python using Logistic Regression.
  • Achieved ~86% model accuracy using historical SBA data.
  • Visualized feature relationships and top risk indicators (loan type, term length, geographic location).
  • Identified patterns that could improve risk-based loan decision-making.

Certifications & Training

  • IBM Data Science Professional Certificate (6/2025)
  • Google Advanced Data Analytics (target: Summer 2025)

⚡ Fun Facts

In my spare time, I enjoy playing video games, watching Formula 1, traveling to new places, and cooking Mexican food.


Let’s connect if you’re looking for someone who can build, analyze, and communicate tech solutions with impact.

Pinned Loading

  1. IBM-DS-Capstone-Project Public

    My repo for my capstone project for my IBM DS Cert.

    Jupyter Notebook

  2. SBA-Loan-Prediction-Analysis Public

    I was tasked with constructing a ML model to predict the outcome of small business loans with the goal to reduce the amount of risky loans that get approved. I chose to train a Logistic Regression …

    R 1