About me

Passionate Data Scientist and Quantum Computer Scientist with a Physics and Mathematics degree from UAM and UNAM, respectively. Skilled in Python, R, C++, Java, SQL, and cloud technologies. Experienced in machine learning and big data, currently developing a quantum computer simulator with Qiskit. Open to challenging data science projects.

What i'm doing

  • icon-cloud-compute

    Cloud Compute

  • Web development icon

    Machine Learning

  • mobile app icon

    High Performance Computing

  • camera icon

    Data Analytics

  • camera icon

    Quantum Computing

  • camera icon

    Algorithm Design

Testimonials

  • Daniel lewis

    David Quero

    Working with Erick was an exceptional experience. He is a brilliant data scientist , and his expertise was invaluable in our project. Together, we developed a neural network that generated captivating baroque music from complex datasets. Erick's deep understanding of machine learning and his commitment to excellence ensured that our project not only met but exceeded our expectations. His collaborative spirit and innovative mindset truly set him apart. I look forward to working with him on future projects!

  • Jessica miller

    Mariana Schulz

    Erick was instrumental in our recent project, serving as the software developer specializing in CUDA. We were incredibly impressed with his expertise and dedication. He brings a wealth of experience in data science, always prioritizing the project's needs. His ability to translate complex concepts into efficient code was invaluable. Erick's commitment to excellence and innovative approach truly set him apart in the field.

Daniel lewis
quote icon

Daniel lewis

Richard was hired to create a corporate identity. We were very pleased with the work done. She has a lot of experience and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt consectetur adipiscing elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.

Where I've been working

Resume

Education

  1. Metropolitan Autonomous Univesity

    B.Sc. Physics 2019 — 2023

    Concentration in Quantum Computing.
    GPA: 3.72/4.00

  2. National Autonomous University of Mexico

    B.Sc. Mathematics 2020 — 2024

    Concentration in Computer Science.
    GPA: 3.80/4.00

Experience

  1. Teaching Assistant

    Faculty of Sciences, UNAM CDMX, Mexico Aug/2024 - Present

    • - Created engaging educational materials and interactive lesson plans to foster student learning and enhance comprehension.
    • - Guided students in mastering High Performance Computing techniques, empowering them to develop robust algorithms and innovative solutions.
    • - Designed and optimized CUDA scripts for various optimization problems, significantly improving algorithm assessment efficiency and enhancing students' practical coding skills through collaborative projects.

  2. Undergraduate Researcher

    Abdus Salam International Centre for Theoretical Physics Trieste, Italy May/2024

    • - Implemented advanced topics in Mathematics for machine learning, improving training efficiency on complex data by 40%
    • - Analyzed large amount of data using Topoogical Data Analysis techniques
    • - Engineered advanced high-dimensional statistical Python code to assess machine learning algorithms, reducing computational time by 40% and increasing algorithm evaluatin accuracy by 25% in a team of 4 data scientists.

  3. Data Science Intern

    Didi Chuxing Technoloy Co. CDMX, Mex. Jun/2023-Oct/2023

    • - Developed advanced Python algorithms to develop robust data models for Dark Kitchen DiDi in LATAM; facilitated strategic decisions that boosted operational efficiency by 30% and reduced data processing time by 50%
    • - Built Power BI dashboards, focusing on data quality to highlight key performance metrics and actionable insights
    • - Enhanced dat accuracy by 25% through rigorous data cleaning and validation processes
    • - Collaborated with cross-functional teams to integrate data sources and optimize reporting workflows

  4. Data Science Researcher

    Metropolitan Autonomous University CDMX, Mex. May/2021-Oct/2024

    • - Designed of object-oriented code to create a database for the 2D Ising Model
    • - Implemented parallel computing techniques, achieving a 33% increase in code efficiency
    • - Leveraged high-performance computing patterns using MAX PLANCK INSTITUTE resources, enhancing computational efficiency by 40% and accelerating mathematical simulations by 25%, leading to groundbreaking research advancements in theoretical mathematics.
    • - Executed complex data analysis leveraging PySpark and Matplotlib, uncevering insights that improved data processing efficiency by 30%
    • - Created Convolutional Neural Network (CNN) for predictions, achieving an accuracy of 93%

My skills

  • Sotware Development
    88%
  • Artificial Intelligence Development
    90%
  • Analytical Thinking
    95%
  • Teamwork
    93%