Adrian Pacurar

Experience

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  DePaul University

  Apr 2009 - Jun 2012

  Teaching Assistant, Tutor

  Assisted students with understanding and applying various mathematical concepts in a variety of subjects: real/complex analysis, advanced calculus, combinatorics, number theory, probability and statistics, linear algebra, and others.

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  Aon

  Jun 2012 - Aug 2014

  Software Developer

  Developed and troubleshoot applications as part of a cross-functional team supporting a large array of solutions for both internal and external clients. Areas include: cryptography, SSO, authentication/authorization, UNIX/Linux server maintenance, data processing and analysis, databases, web design and development.

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  University of Notre Dame

  Aug 2015 - May 2018

  Teaching Assistant, Instructor

  Taught undergraduate courses as main instructor. Assisted students with developing strong communication and problem-solving skills in calculus, advanced calculus, linear algebra, combinatorics/probability, and differential equations.

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  KPMG US

  Dec 2018 - Mar 2020

  Associate, Data & Analytics Modeler

  Worked with clients to understand available resources and constraints around data. Leveraged a variety of approaches to solve complex business problems, translating objectives into artificial intelligence approaches: data analytics, feature engineering, knowledge graphs, statistical natural language processing, supervised/unsupervised machine learning.

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  Northrop Grumman

  Mar 2020 - Jun 2021

  Data Scientist

  Created predictive models supporting production/leadership teams. Built robust applications and data pipelines using various data sources, enabling direct interaction with models. Ran simulations and used advanced machine learning for regression and classification problems: Monte Carlo, deep learning, NLP, computer vision, and others.

• 

  Wi-Tronix, LLC

  Jul 2021 - now

  Senior Data Scientist

  Architect and train deep neural networks to solve complex problems for the railway industry. Develop models for computer vision (image/video classification/detection/segmentation), time series (classification, anomaly detection, transformers, audio, text). Leverage synthetic data generation techniques. Build and deploy productionized model APIs. Edge computing.