
Timeline
About me
Data Scientist
Education

University of notre dame
2014 - 2017Master of science - ms mathematics
Depaul university
2007 - 2012Bachelor of science - bs mathematics summa cum laude- Minor in computer science and physics
Experience

Depaul university
Apr 2009 - Jun 2012Teaching assistant, tutorAssisted 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.

Aon
Jun 2012 - Aug 2014Software developerDeveloped 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.

University of notre dame
Aug 2015 - May 2018Teaching assistant, instructorTaught 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.

Kpmg us
Dec 2018 - Mar 2020Associate, data & analytics modelerWorked 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.

Northrop grumman
Mar 2020 - Jun 2021Data scientistCreated 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 - nowSenior data scientistArchitect 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.
Licenses & Certifications
- View certificate

Applied machine learning: foundations
LinkedinAug 2021
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