Magdalena Picariello (Surówka)

Founder at Datali
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Contact Information
us****@****om
(386) 825-5501
Location
Zurich, Switzerland, CH
Languages
  • angielski Full professional proficiency
  • francuski Full professional proficiency
  • hiszpański Professional working proficiency
  • niemiecki Professional working proficiency
  • polski Native or bilingual proficiency

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Bio

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Credentials

  • TensorFlow Developer
    Google
    Apr, 2020
    - Oct, 2024
  • Convolutional Neural Networks
    deeplearning.ai
    May, 2019
    - Oct, 2024
  • Deep Learning Specialization
    deeplearning.ai
    May, 2019
    - Oct, 2024
  • Sequence Models
    deeplearning.ai
    May, 2019
    - Oct, 2024
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    deeplearning.ai
    Jan, 2019
    - Oct, 2024
  • Structuring Machine Learning Projects
    deeplearning.ai
    Jan, 2019
    - Oct, 2024
  • Neural Networks and Deep Learning
    deeplearning.ai
    Dec, 2018
    - Oct, 2024
  • Certificate of Proficiency in English
    University of Cambridge
    Jan, 2012
    - Oct, 2024

Experience

    • Switzerland
    • Data Infrastructure and Analytics
    • 1 - 100 Employee
    • Founder
      • Jul 2019 - Present

      Helping companies implement data-driven solutions. My focus is on defining business problems in mathematical terms, and designing algorithms to solve it. Want to know more? https://datali.ch Helping companies implement data-driven solutions. My focus is on defining business problems in mathematical terms, and designing algorithms to solve it. Want to know more? https://datali.ch

    • Switzerland
    • Education Administration Programs
    • 700 & Above Employee
    • Lecturer in Artificial Intelligence
      • Sep 2022 - Present

      Mentoring students in Artificial Intelligence Challenge. I help students find flaws in their models, and propose efficient ways to improve their performance. Our teams participate in Kaggle competitions, boosting their score every week. Mentoring students in Artificial Intelligence Challenge. I help students find flaws in their models, and propose efficient ways to improve their performance. Our teams participate in Kaggle competitions, boosting their score every week.

    • 1 - 100 Employee
    • Data Scientist
      • Oct 2020 - Present

      Linking the data Linking the data

    • Switzerland
    • Program Development
    • 1 - 100 Employee
    • Data Science Advisor
      • Sep 2020 - Present
    • Lecturer in Machine Learning
      • May 2020 - Present

      Teaching aspiring data scientists how statistics can help building better machine learning models. Teaching aspiring data scientists how statistics can help building better machine learning models.

    • Quant Engineer
      • May 2017 - Jun 2019

      As a Quant Engineer, I address real world problems with advanced statistical concepts. Using mathematical models I design prototypes, iterate over them, and propose scalable solutions. I work in tight collaboration with the development team to productize selected algorithms. Key successes: • Prototype to viable product development • Test-driven development • Leading technical workshops for clients and developers • Supervising interns As a Quant Engineer, I address real world problems with advanced statistical concepts. Using mathematical models I design prototypes, iterate over them, and propose scalable solutions. I work in tight collaboration with the development team to productize selected algorithms. Key successes: • Prototype to viable product development • Test-driven development • Leading technical workshops for clients and developers • Supervising interns

    • United States
    • Advertising Services
    • 1 - 100 Employee
    • Career break
      • Jan 2016 - Dec 2016

      On a cultural journey between Panama and Mexico. Reported on my blog: www.sojkazamorzem.pl On a cultural journey between Panama and Mexico. Reported on my blog: www.sojkazamorzem.pl

    • Switzerland
    • Utilities
    • 700 & Above Employee
    • Data Science Intern
      • Mar 2015 - Dec 2015

      Developing algorithms to valuate power plants and maximize their expected profit. The main topics included: • Forecasting electricity prices • Optimizing hydroelectric power plant operation • Predictive maintenance Developing algorithms to valuate power plants and maximize their expected profit. The main topics included: • Forecasting electricity prices • Optimizing hydroelectric power plant operation • Predictive maintenance

    • Switzerland
    • Financial Services
    • 700 & Above Employee
    • Data Science Intern
      • Jun 2014 - Nov 2014

      Simulating stress scenarios to asses the impact of financial shocks on the bank portfolio. Main responsibilities: • Developing new methodologies and improving existing ones • Testing new models • Integrating new algorithms into existing frameworks Simulating stress scenarios to asses the impact of financial shocks on the bank portfolio. Main responsibilities: • Developing new methodologies and improving existing ones • Testing new models • Integrating new algorithms into existing frameworks

    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Junior Data Analyst
      • Jan 2012 - Aug 2013

      Analyzing clients' financial situation to ensure their solvability Analyzing clients' financial situation to ensure their solvability

Education

  • Universität St.Gallen - Hochschule für Wirtschafts-, Rechts- und Sozialwissenschaften
    Master of Arts (M.A.), Quantitative Economics
    2013 - 2015
  • Uniwersytet Jagielloński w Krakowie
    Master's degree, Economics
    2011 - 2013
  • Pontificia Universidad Católica del Perú
    Student exchange, Economics
    2012 - 2012

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