Ana Laura Vadnjal

Senior Data Scientist at Asante Argentina
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Contact Information
us****@****om
(386) 825-5501
Location
Argentina, AR
Languages
  • English Full professional proficiency
  • Spanish Native or bilingual proficiency
  • German Elementary proficiency

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Credentials

  • XCS224N - Natural Language Processing with Deep Learning
    Stanford Online
    Aug, 2021
    - Nov, 2024

Experience

  • Asante
    • Argentina
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Senior Data Scientist
      • Apr 2019 - Present

      Define research priorities, present status reports of the projects, develop algorithms.Projects: - Text classification in user complaints. Methods: natural language processing, hierarchicalarchitectures. - Automatic data extraction from invoices and other documents. Methods: image processing, object detection, natural language processing, ocr. - Prediction of points in NFL fantasy games. Methods: boosting algorithms, categorical data handling, statistical learning. Tools: Python (pytorch, pandas, tensorflow, keras, opencv, sklearn, tesseract, spacy, flair, transformers), git, mongoDB, docker.

  • Facultad de Ingeniería - UBA
    • Higher Education
    • 300 - 400 Employee
    • Assistant Professor
      • Oct 2021 - Dec 2021

      Introduction to Deep Learning, postgraduate course Introduction to Deep Learning, postgraduate course

  • Freelance, self-employed
    • Freelance
      • Sep 2019 - Feb 2020

      Developed software for a startup project involving image processing in floor plans. Methods: segmentation, color transformation and filtering, basic geometry. Tools: Python (opencv, flask), git, docker Developed software for a startup project involving image processing in floor plans. Methods: segmentation, color transformation and filtering, basic geometry. Tools: Python (opencv, flask), git, docker

  • Facultad de Ingeniería - UBA
    • Higher Education
    • 300 - 400 Employee
    • Assistant Professor
      • 2014 - Nov 2019

      Artificial Neural Networks

    • Teaching assistant
      • 2008 - 2014

      Artificial Neural Networks

    • Research stay for Electronic Engineering degree thesis
      • 2009 - 2011

      Automatic detection of sleep stages in intracranial electroencephalography signals. Methods: decision tree learning, boosting algorithms, coupling measures, fisher discriminant. Tools: Matlab

    • Research stay
      • 2007 - 2009

      Research on computational models of evolutionMethods: population models, genetic algorithms. Tools: Matlab

  • Eiwa
    • United States
    • Farming
    • 1 - 100 Employee
    • Head of Data Science
      • Nov 2018 - Mar 2019

      Led data science team to improve algorithms for row based plant counting and assessment of genotype maturation date using pictures taken by drones. Designed development guides, team schedule and goals. Proposed and developed new solutions.Methods: image processing, segmentation, clustering Tools: Python (tensorflow, keras, opencv, sklearn, pandas), git, AWS, sql. Led data science team to improve algorithms for row based plant counting and assessment of genotype maturation date using pictures taken by drones. Designed development guides, team schedule and goals. Proposed and developed new solutions.Methods: image processing, segmentation, clustering Tools: Python (tensorflow, keras, opencv, sklearn, pandas), git, AWS, sql.

  • INTI
    • Argentina
    • Government Administration
    • 700 & Above Employee
    • Postdoctoral Research Scientist
      • Apr 2018 - Nov 2018

      Started the development of a graphic interface to handle several instruments in the optic table, such as a Spatial Light Modulator, cameras, electrometers, function generators, etc. Tools: c++, Qt, Python, opencv

    • Doctoral Student
      • Apr 2013 - Mar 2018

      Development of signal and image processing techniques in the field of optical metrology using speckle fields and optical vortices or phase singularities. Methods: wavelets, Riesz transform, speckle, speckle interferometry, spiral interferometry. Tools: Matlab

    • INTI graduate grant
      • Feb 2012 - Mar 2013

      Research and implementation of signals analysis and processing techniques for the development and use of microsystems. Methods: speckle, image processing. Tools: Matlab

  • INTI
    • Argentina
    • Government Administration
    • 700 & Above Employee
    • Internship Trainee
      • Nov 2007 - Apr 2008

      Research and development of ultrasound transducers and their applications. Methods: transmission line modeling. Tools: Matlab Research and development of ultrasound transducers and their applications. Methods: transmission line modeling. Tools: Matlab

Education

  • Universidad de Buenos Aires
    Doctor of Philosophy - PhD, Image processing, Optics
    2013 - 2018
  • Universidad de Buenos Aires
    Electronics Engineer, Signal processing
    2004 - 2010

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