Biography

I am a data scientist with a focus on healthcare analytics. My research interests include developing machine learning applications for healthcare, collecting and analyzing signals from patient monitors in hospitals and predict any potential adverse outcomes in advance.

I have a Master’s degree in Computer Engineering where I specialized in biomedical signals processing and sensor data, and a second Master’s degree in Data Science. I have strong data analytical skills utilizing Python, R, SAS, SQL and Tableau, along with great knowledge in computer information and technology.

Download my resumé.

Interests

  • Artificial Intelligence
  • Healthcare Analytics
  • Computer Vision
  • Robotics

Education

  • MSc in Data Science, 2020

    National University

  • MSc in Computer Engineering, 2018

    Texas Tech University

  • BSc in Computer Engineering, 2016

    Texas Tech University

Experience

 
 
 
 
 

Data Scientist

Darroch Medical Solutions, Inc.

Jul 2020 – Present San Diego, California

Responsibilities:

  • Collect and analyze signals from patient vital signs.
  • Design and maintain database to store and retrieve patient data in real time.
  • Develop machine learning algorithms to predict any potential adverse outcomes in advance in hospital setting.
 
 
 
 
 

Teaching Assistant - Digital Signal Processing

Texas Tech University

Dec 2017 – Dec 2018 Lubbock, Texas

Responsibilities:

  • Designed course materials, projects and packets for professor
  • Assisted 3 sections of students on computer architecture concepts.
 
 
 
 
 

Computer Lab Assistant

Texas Tech University

May 2017 – Dec 2017 Lubbock, Texas

Responsibilities:

  • Instructed 2 lab sessions in digital signal processing.
  • Aided students with study sessions in addition to lectures.
 
 
 
 
 

Math Tutor

Texas Tech University

Aug 2014 – May 2017 Lubbock, Texas

Responsibilities:

  • Tutored for various math courses including Calculus I, II, III, Differential Equation and Linear Algebra.

Accomplish­ments

Machine Learning with TensorFlow on Google Cloud Platform

Coursera Jun 2020
See certificate

End-to-End Machine Learning with TensorFlow on GCP

Coursera Jun 2020
See certificate

Custom Prediction Routine on Google AI Platform

Coursera May 2020
See certificate

Projects

.js-id-ml
Machine Learning Signal Processing Image Processing

DIGIT RECOGNITION WITH SIFT

A real time digit recognition GUI using Scale Invariant Feature Transform (SIFT) in Matlab.

EARLY SEPSIS PREDICTOR

A program to predict whether a patient would develop sepsis in the next 6 hours given their vital signs.

INSTAGRAM GENUINENESS

A program to predict whether an Instagram follower is genuine or fake.

MNIST

A program to recognize digits in real-time using Convolutional Neural Network written in Matlab.

SENTIMENT ANALYSIS IN MOVIE REVIEWS

A program to classify people’s sentiments in their movie reviews using word embeddings.

SENTIMENT ANALYSIS OF TWEETS

A program to predict if a tweet would be retweeted given the its content and sentiments.

TOXIC COMMENT CLASSIFICATION

A multi-label problem using simple Logistic Regression with TF-IDF representation.

WIRELESS ECG MONITOR

A mobile application to wirelessly keep track of ECG signals in real time.

WORK-RELATED INJURIES CLASSIFICATION

A program to classify injuries based on text description using simple Bag of Words.

Recent Posts

Writing technical content in Academic

Academic is designed to give technical content creators a seamless experience. You can focus on the content and Academic handles the rest. Highlight your code snippets, take notes on math classes, and draw diagrams from textual representation.
Jul 12, 2019 5 min read
Writing technical content in Academic

Display Jupyter Notebooks with Academic

Learn how to blog in Academic using Jupyter notebooks
Last updated on Sep 5, 2019 2 min read
Display Jupyter Notebooks with Academic

Academic: the website builder for Hugo

Create a beautifully simple website in under 10 minutes.
Last updated on Apr 17, 2019 3 min read Demo
Academic: the website builder for Hugo

Gallery

Workshops

Data Science for Good: Workshop 2 - Getting Started with R and RStudio

A free online workshop presented in partnership between the University of San Diego’s Applied Data Science Master’s Program and San Diego Tech Hub.
Oct 24, 2020 10:00 AM — 12:00 PM Online Workshop
Data Science for Good: Workshop 2 - Getting Started with R and RStudio

Contact

  • 4445 Eastgate Mall Suite 200, San Diego, California 92121