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Carlos R. Python, SQL and Machine Learning Platforms

My name is Carlos R. and I have over 1 year of experience in the tech industry. I specialize in the following technologies: Data Analysis, Data Science, Machine Learning, SQL Programming, Tableau, etc.. I hold a degree in Bachelor of Applied Science (BASc). Some of the notable projects I've worked on include: Super Kart Sales Prediction Using Machine Learning, Performance Analysis of Top 5 Players in UEFA EURO Tournament. I am based in Santo Domingo, Dominican Republic. I've successfully completed 2 projects while developing at Softaims.

I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.

The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.

I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.

Main technologies

  • Python, SQL and Machine Learning Platforms

    1 year

  • Data Analysis

    1 Year

  • Data Science

    1 Year

  • Machine Learning

    1 Year

Additional skills

  • Data Analysis
  • Data Science
  • Machine Learning
  • SQL Programming
  • Tableau
  • Python
  • R
  • Data Visualization
  • Data Analytics
  • Python Scikit-Learn
  • TensorFlow
  • PyTorch
  • Web Scraping
  • NLP Tokenization
  • ETL Pipeline

Direct hire

Potentially possible

Previous Company

Freelance

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Experience Highlights

Super Kart Sales Prediction Using Machine Learning

Developed a predictive model to forecast sales of Super Karts using historical sales data. Employed machine learning techniques to analyze trends and make accurate sales predictions. Results: - Achi

Performance Analysis of Top 5 Players in UEFA EURO Tournament

Analyzed top 5 players' performance metrics (speed, goals, assists, defensive actions) from the last UEFA EURO tournament to assess their impact on team success and market value changes. Results: -

Education

  • Universidad Iberoamericana, Santo Domingo, Dominican Republic

    Bachelor of Applied Science (BASc) in Civil engineering

    2018-01-01-2023-01-01

Languages

  • English (Fluent)✓
  • Spanish (Native or Bilingual)
  • French (Basic)
  • Italian (Conversational)