USC Graduate. Machine Learning Engineer.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Touch2Success
Data Scientist
June 16, 2026 – Present
Bike-Sharing-Neural-Network
December 8, 2017 – December 8, 2017
Bike-Sharing-Neural-Network — GitHub repository
View ProjectPredicting-House-Values
October 20, 2017 – October 20, 2017
Building a model capable of predicting median house values for a district.
View ProjectPython-Machine-Learning-Code
May 8, 2017 – May 8, 2017
Coding practice from Python Machine Learning
View ProjectSequence-labeling-CRFsuite
March 6, 2017 – March 6, 2017
The goal of this assignment is to get some experience with sequence labeling. Specifically, you will be assigning dialogue acts to sequences of utterances in conversations from a corpus. In sequence labeling it is often beneficial to optimize the tags assigned to the sequence as a whole rather than treating each tag decision separately. With this in mind, you will be using a machine learning technique, conditional random fields, which is designed for sequence labeling. You will be using the toolkit, CRFsuite.
View ProjectSpam-filter-Perceptron
March 6, 2017 – March 6, 2017
The goal of this assignment is to get some experience implementing the simple but effective machine learning model, the perceptron, and applying it to a binary text classification task (i.e., spam detection).
View ProjectSpam-filter-Naive-Bayes
March 6, 2017 – March 6, 2017
The goal of this assignment is to get some experience implementing the simple but effective machine learning technique, Naïve Bayes classification, and applying it to a binary text classification task (i.e., spam detection).
View ProjectWalmart-trip-type-classification
March 6, 2017 – March 6, 2017
Walmart attempts to provide every customer the best shopping experience they can through segmentation of stores visits into different trip types. These trip types are created using a combination of “art” (preexisting customer insights) and “science” (historical purchase data). In this project, we aim to create a classification model and predict the trip types by focusing only on the data (“science”) using a training dataset available on Kaggle containing a much smaller set of features than what is used by Walmart. Walmart posted this project idea/challenge on Kaggle as they believe that their segmentation process would see refinement by improving the science behind trip type classification.
View ProjectSantander-Customer-Satisfaction-Kaggle-Competition
March 6, 2017 – March 6, 2017
The purpose of this project was to help Santander Bank in identifying dissatisfied customers early in their relationship.
View ProjectCSCI544_Lyrics-Sentimental-Analysis-and-Mood-Classification
November 15, 2016 – December 3, 2016
Mood Identification in Top 100 Billboard Songs (1965 -2015)
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on individual, academic-style machine learning challenges, which aligns with a data scientist role requiring independent problem-solving. However, the lack of team projects or diverse industry applications makes it difficult to fully assess cultural fit in a collaborative or fast-paced commercial environment. The current role as 'Data Scientist' at Touch2Success is noted, but no details are provided about the responsibilities or team dynamics.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on defined problems, but there is no information regarding collaboration, problem-solving approaches, or communication style.