Nina Pikula

Quantitative Associate, Research & Analytics at Link Logistics

Nina Pikula started their work experience in 2014 as a Graduate Teaching Assistant at the University of California San Diego, where they later became a Lecturer. In 2019, they transitioned to work as a Measurement Engineer at Corning Incorporated. From 2020 to 2022, they worked at MORSE Corp as a Data Scientist and then as a Data Scientist and Team Lead. In 2022, they joined Cross Screen Media as a Lead Data Scientist. Nina'smost recent position is as a Quantitative Associate in Research & Analytics at Link Logistics, starting in 2023.

Nina Pikula has a strong educational background in mathematics and physics. Nina obtained their Bachelor of Science (BS) degree in Mathematics and Physics from Binghamton University in 2013. Subsequently, they pursued their Doctor of Philosophy (PhD) in Mathematics from UC San Diego, which they completed in 2019.

In addition to their formal education, Nina has also obtained several certifications to enhance their skills and knowledge in data science and machine learning. Nina completed courses such as "Databases and SQL for Data Science," "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," "Machine Learning," "Neural Networks and Deep Learning," "Data Analysis with Python," and "Machine Learning with Python" from Coursera. These certifications showcase their dedication to staying updated with the latest advancements in their field.

Links

Timeline

  • Quantitative Associate, Research & Analytics

    January, 2023 - present

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