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Jorge T. Cloud, DevOps and Data Science Platforms

My name is Jorge T. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Data Science, Machine Learning, Azure DevOps, Data Engineering, Data Integration, etc.. I hold a degree in , Bachelor of Applied Science (BASc), . Some of the notable projects I’ve worked on include: Ai assitant legal, Automating Medical Transcription Analysis with OpenAI API, E-commerce Walmart, Weather App, Google Play Store Data, etc.. I am based in Tarija, Bolivia. I've successfully completed 6 projects while developing at Softaims.

My passion is building solutions that are not only technically sound but also deliver an exceptional user experience (UX). I constantly advocate for user-centered design principles, ensuring that the final product is intuitive, accessible, and solves real user problems effectively. I bridge the gap between technical possibilities and the overall product vision.

Working within the Softaims team, I contribute by bringing a perspective that integrates business goals with technical constraints, resulting in solutions that are both practical and innovative. I have a strong track record of rapidly prototyping and iterating based on feedback to drive optimal solution fit.

I’m committed to contributing to a positive and collaborative team environment, sharing knowledge, and helping colleagues grow their skills, all while pushing the boundaries of what's possible in solution development.

Main technologies

  • Cloud, DevOps and Data Science Platforms

    4 years

  • Data Science

    1 Year

  • Machine Learning

    1 Year

  • Azure DevOps

    3 Years

Additional skills

Direct hire

Potentially possible

Previous Company

Nubimetrics

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Experience Highlights

Ai assitant legal

The AI Legal Assistant revolutionizes legal support for small and medium enterprises by delivering instant, context-aware legal insights

Automating Medical Transcription Analysis with OpenAI API

Developed a solution to automate the extraction of key medical information from transcriptions using the OpenAI API. The project aimed to streamline the process of summarizing patient encounters and matching them with appropriate ICD-10 codes for billing and insurance purposes. This automation significantly reduced the time and effort required for manual data entry, improving efficiency and accuracy in medical documentation.

E-commerce Walmart

In this project, you are tasked with creating a data pipeline to analyze supply and demand around holidays, along with conducting a preliminary analysis of the data. You will be working with two data sources: grocery sales and complementary data. The provided grocery_sales table in the PostgreSQL database includes the following features: index: Unique ID of the row Store_ID: The store number Date: The week of sales Weekly_Sales: Sales for the given store

Weather App

Designed a sleek and user-friendly weather app for CodeDex.com. Integrated real-time weather updates, location-based forecasts, and interactive design elements, ensuring accurate and seamless user experiences. Focused on responsiveness and optimized for cross-platform performance

Google Play Store Data

Analysis Ideas Explore: Which top 10 categories have the highest reviews? Visualize: Distribution of sentiment polarity by content rating. Analyze: Impact of content rating on sentiment and app rating. Scenario: Objective: Identify factors that increase app ratings. Outcome: Prepare a report for app developers to ensure high review scores.

Education

  • Rice University

    in

    2017-01-01-2021-01-01

  • Universidad Nacional de Educación a Distancia - U.N.E.D.

    Bachelor of Applied Science (BASc) in Engenieer

    2016-01-01-2020-01-01

  • Universidas autonoma Juan Misael Saracho

    in Industrial engineering

    2023-01-01-2025-01-01

Languages

  • German
  • English
  • Spanish
  • Portuguese

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