Personal details

Jaime A. - Remote data scientist

Jaime A.

Based in: 🇺🇸 United States
Timezone: Central Time (US & Canada) (UTC-5)

Summary

Jaime Avelar boasts more than twenty years of experience as a professional programmer, specializing in data analysis. Jaime has earned a Master of Science in Information Systems from the University of Texas at Arlington.

Work Experience

Self-Employed
K & E Data, LLC | Sep 2018 - Present
HTML/CSS
Python
MySQL
Flask
Linux
Excel VBA
JavaScript
Visual studio code
GPT
AI (artificial intelligence)
As a real estate investment mentor, I specialize in guiding others through the nuances of property investment while emphasizing the importance of automation to enhance efficiency and cost-effectiveness. Passionate about staying abreast of the latest trends, I continuously explore innovative ways to incorporate automation into my real estate endeavors, aiming to maximize savings and streamline processes. My focus is not just on growing my own business, but also on empowering others to succeed in the dynamic world of real estate through smart, technology-driven strategies.
Test Automation Engineer
Nokia | Jun 1996 - Nov 2018
Python
Jenkins
Robot Framework
Plan, design and implement test automation tools.

Education

University of Texas At Arlington
Master's degree・Information Systems
Jun 2007 - Jul 2009

Personal Projects

Pre-Foreclosure List Pro
2024
Python
Flask
Linux
Excel
API Integration
AI (artificial intelligence)
Introducing a cutting-edge platform designed for comprehensive real estate data aggregation and analysis. At its core, this platform employs Python and Selenium to efficiently scrape data from various real estate websites, ensuring a constant stream of up-to-date market information. To manage and store this data, we utilize a Flask API, which seamlessly saves the information to a MySQL database hosted on a secure virtual server. One of the platform's standout features is its use of advanced GPT models to intelligently analyze and interpret data contained within PDF files. This feature adds a layer of depth to the analysis by extracting valuable insights from complex documents. Additionally, the platform integrates with the Zillow API, enriching its database with a wide range of real estate data, including listings, price trends, and regional market dynamics. Accessibility and user-friendliness are key. Users can easily access the compiled data through a web browser interface, which offers a clear, intuitive view of the data. For added convenience and further analysis, clients have the option to download this data directly into Excel files. This platform is not just a tool; it's a comprehensive solution for real estate professionals, investors, and analysts seeking a technological edge in a competitive market.

Certifications & Awards

Post Graduate Program in Artificial Intelligence and Machine Learning: Business Applications
The University of Texas at Austin - Texas McCombs | Dec 2023