Hi! I'm Anh Nguyen

• 

  Customer churn prediction

  A machine learning model was developed to predict customer churn for a company, with the goal of identifying at-risk customers and retaining them to improve retention and profitability. The model achieved an accuracy of 96% and analyzed the characteristics of churned customers to identify areas for improvement. See GitHub code

• 

  Sentiment Analysis on Customer Reviews of Restaurants

  This project used natural language processing (NLP) techniques and the NLTK library for sentiment analysis and analyzing sentiment trends across various restaurants. The results of these efforts can be used to gain insights into customer experiences and identify areas for improvement in the restaurant industry See GitHub code

• 

  Image Classification

  This project involved the development and training of deep learning models for image classification using TensorFlow. The models included feed forward and convolutional neural networks.The optimization efforts resulted in an accuracy of 98% on the image classification task.
  #deeplearning #mlp #cnn #architecture #hyperparameter
  See GitHub code

• 

  Oil Spill Detection Model

  The project involves the development of a machine learning model for the classification of oil spills. The model was built using various machine learning techniques, data augmentation, and hyperparameter tuning. See GitHub code

• 

  Bike-share Subscription Analysis

  This project analyzed bike-share service subscription data using BigQuery and R, and created a Tableau dashboard to visualize key insights. By understanding customer behaviors, the project aimed to inform the development of personalized marketing strategies and help the organization make more informed decisions. See GitHub code

Pitting Corrosion Research
In my PhD research, I developed a pitting model to investigate corrosion in stainless materials such as nickel-based alloys and stainless steel (316 and 304). The focus was on understanding the propagation of a single corrosion pit and its interaction with neighboring pits under various environmental setting. To do this, I used both one-dimensional and two-dimensional models and employed a phase field method to track the movement of the corroding surface —a first in this area of research. The ultimate goal of the research was to improve the predictive capabilities of these models and help prevent corrosion in these materials.

Natural selection process to form convoluted shape or a "champion" pit in pitting corrosion [1].

1. V. A. Nguyen, R. C. Newman, and N. J. Laycock, “A 2-D Reaction-Transport Model for Investigating Pit Morphology Under the Influence of a Salt Film,” Journal of The Electrochemical Society, vol.171, 081503, 2024.
2. V. A. Nguyen, R. C. Newman, and N. J. Laycock, “2-Dimensional Simulations of Pit Propagation and Multi-Pit Interactions,” Journal of The Electrochemical Society, vol.169, 0815034, 2022.
3. V. A. Nguyen and R. C. Newman, “A comprehensive modelling and experimental approach to study the diffusion-controlled dissolution in pitting corrosion,” Corrosion Science, vol. 186, 109461, 2021.
4. V. A. Nguyen , A. G. Carcea, M. Ghaznavi, and R. C. Newman, “The effect of cation complexation on the predicted “B” value in Galvele’s pit model,” Journal of The Electrochemical Society, vol. 166, C3297–C3304, 2019.
5. V. A. Nguyen, A. G. Carcea, M. Ghaznavi, and R. C. Newman, “Status of pitting corrosion prediction in mixed solutions containing reduced sulfur species,” in Advances in Electrochemical Techniques for Corrosion Monitoring and Laboratory Corrosion Measurements, S. Papavinasam, L. Y. R. Rebak, and N. Berke, Eds., West Conshohocken, PA: ASTM International, 2019, 280–293

Conferences

1. V. A. Nguyen, R. C. Newman, N. J. Laycock, “A Pitting Model to Investigate the Evolution of Pit Morphology in Various Chloride Environment,” in 75th Annual Annual Meeting of the International Society of Electrochemistry, August 20th, 2024, Montreal, Canada. (Oral presentation)
2. V. A. Nguyen, R. C. Newman, N. J. Laycock, “2-D Propagation Model for Multi-Pit Interaction in Pitting Corrosion,” in 73rd Annual Annual Meeting of the International Society of Electrochemistry, September 12th, 2022, Virtual conference (Oral presentation)
3. V. A. Nguyen , R. C. Newman, N. J. Laycock,“Two-Dimensional Charge Transport Model to Simulate Growth of Multiple Corrosion Pits,” in EUROCORR 2022, August 28th- September 1st, 2022, Berlin, Germany (Oral presentation)
4. V. A. Nguyen , R. C. Newman, N. J. Laycock, “A Two-Dimensional Transport Model with Phase-Field Method for Pit Propagation Relevant to Nuclear Steam Generators,” in 41st Annual Conference of the Canadian Nuclear Society and 46th Annual CNS/CNA Student Conference, June 5th- June 8th, 2022, Virtual conference (Oral presentation and conference paper)
5. V. A. Nguyen, R. C. Newman, “Development of Charge Transport Model to Study the Diffusion-Controlled Dissolution and Multi-Pit Interaction in Pitting Corrosion,” in 239th ECS Meeting, May 30th-June 3rd, 2021, Virtual conference (Oral presentation)
6. V. A. Nguyen, R. C. Newman, “Application of a Reaction-Transport Model with Cation Complexation and Variable Diffusivity to Galvele’s Criteria for Pitting Corrosion,” in 236th ECS Meeting, October 13th-17th, Atlanta, Georgia, 2019 (Oral presentation)
7. V. A. Nguyen, A. G. Carcea, and R. C. Newman, “Reaction-Transport Model in a One-dimensional Corrosion Pit,” in NACE SOSS 9th Annual Symposium, July 25th-26th, London, Ontario, 2019 (Oral presentation)
8. V. A. Nguyen, M. Ghaznavi, A. G. Carcea, and R. C. Newman, “Some Extensions of the Galvele Approach to Localized Corrosion, Including the Effect of Cation Complexation,” in 231st ECS Meeting, May 28th-June 1st, New Orleans, Louisiana, 2017 (Oral presentation)