Agustin Gabriel Lopez Pedroso, Developer in Buenos Aires, Argentina
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Agustin Gabriel Lopez Pedroso

Verified Expert  in Engineering

Data Science Developer

Buenos Aires, Argentina

Toptal member since January 15, 2021

Bio

With a Ph.D. in nanotechnology, Agustin brings a depth of vision to projects. He developed programs to automatize and analyze measurements using Python 3 and created machine learning algorithms to make predictions that improved the quality of results. At Eidos, Agustin applied his expertise in the private sector as a machine learning consultant, building prediction and forecasting models with databases for educational organizations that significantly elevated the company's capacity.

Portfolio

National Commision of Atomic Energy
Git, PyVISA, Predictive Modeling, Python 3
Eidos
GitHub, Microsoft 365, Jupyter Notebook, Classification Algorithms...

Experience

  • Python - 6 years
  • Jupyter Notebook - 4 years
  • Predictive Modeling - 4 years
  • Data Science - 4 years
  • Git - 3 years
  • Machine Learning - 3 years
  • Classification Algorithms - 3 years
  • Scikit-learn - 3 years

Availability

Part-time

Preferred Environment

Spyder, Jupyter Notebook, Scikit-learn, Python 3, Windows

The most amazing...

...machine learning model I've developed helped Eidos vastly improve their productivity.

Work Experience

Research Intern

2017 - PRESENT
National Commision of Atomic Energy
  • Developed multiple easy-to-use GUIs using PyQt and PyVisa that allowed the control of various instruments simultaneously and showed the result in real-time.
  • Designed algorithms and machine learning models for data analysis to reduce the time required for obtaining results from different measurements.
  • Participated in multiple international congresses in nanotechnology, where I presented the results obtained during my Ph.D. studies.
  • Capacitated several undergraduate students in different techniques and skills related to nanotechnology and programming.
  • Built complex models and simulations to predict and compare the experimental results with the information obtained from the simulations.
Technologies: Git, PyVISA, Predictive Modeling, Python 3

Machine Learning Consultant

2017 - 2020
Eidos
  • Developed a machine learning model using the information from previous projects, which helps plan future projects.
  • Improved the machine learning model with new information and results from the lasted projects to obtain better results.
  • Created reports and presentations before, during, and after the project to help Eidos decide the best strategy for each client.
  • Contributed technical computer skills in the preparation of a project related with programming and other computational-related topics.
Technologies: GitHub, Microsoft 365, Jupyter Notebook, Classification Algorithms, Machine Learning, Python 3

Project TEC.LA

TEC.LA is a teacher training program designed to empower educators across Latin America with computational thinking tools. I was part of the team in charge of analyzing the information provided by different educational organizations.

My responsibilities included the creation of presentations and reports with results obtained from the data to assist with the planning process. Additionally, I applied a machine learning model, developed using Python 3 and scikit-learn in previous projects, intending to reduce the time required for planning.
2017 - 2021

Ph.D. in Nanotechnology

University of Buenos Aires - Argentina

2012 - 2017

Licenciatura (Equivalent to a Bachelor + Master Degree) in Physics

University of Buenos Aires - Argentina

MARCH 2020 - PRESENT

Deep Learning Specialization

Coursera

Libraries/APIs

Scikit-learn, Matplotlib, PyQt 5, NumPy, Pandas

Tools

Spyder, GitHub, Git, Seaborn

Languages

Python 3, Python

Platforms

Windows, Jupyter Notebook, Linux

Other

Machine Learning, Classification Algorithms, Regression Modeling, Microsoft 365, Predictive Modeling, Data Science, Data Analysis, Deep Learning, PyVISA

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