KevinHsieh

(832) 209-9670 · kevinhsieh@hsiehweb.com

I am experienced in leveraging engineering and programming expertise to provide a robust synopsis for high level overviews. Iterative approaches to corporate strategy foster collaborative thinking to further the overall value proposition.


Experience

Procurement

(Non-Destructive Testing Engineer)

Falcon
  • Launched initiatives to establish new non-destructive testing procurement supplier contracts with products that meet our specifications
May 2018 - Present

Independent

Hsieh Web LLC
  • I create the fastest websites to date! Test the loading speed of this website and the url below!
  • Sold and launched business websites for several clients. Architected, programmed, marketed, and provided analytics to clients in Texas and New York.
    Ex. dryangpsychiatry.com
  • Safe to say some of my clients has seen a 100x return on investment and are dominating their market share
  • With the value I provide, with your field of expertise, I look forward to future we create!
  • Used Html, CSS, Reactjs
December 2017 - Present

IT Consultant

Online Ordering System for a Restaurant

Cognizant
  • Developed an online system for a restaurant chain having the facilities to store menu appetizers/snacks, entrees, beverages, deserts etc along with prices.
  • Allowed users to login and place online order with pickup and delivery options based upon location keeping in mind some locations may not have delivery options
  • Gratuity, tax, delivery fee, tip etc. are displayed before the final price and order(s) submission
  • Created a frontend Web-layer for the admin, chef, and customer. Created Service layer with Java Spring and a Back End layer is created with SQL Database
  • Used Oracle Database Sql, Java, Spring, Spring boot, Hibernate, Spring JPA, Angular

Warehouse Billing Schedule Billing

Cognizant
  • Developed a pl/sql package containing procedures and functions to generate entries into a payment schedule table for every different configuration given data containing customer billing configurations in monthly, bi- weekly and daily formats
June 2016 - Nov 2017

Data Scientist

Significant predictors correlated with violent crime rates in any neighborhood in the US
(Engineering Data Analytics)

Texas A&M University
  • Created predictive models, from 5000+ data points, containing 147 total attributes (125 predictive, 4 non-predictive, 18 potential goals) of predicting violent crime
  • Machine learning (ML) techniques used Tree, Pruned, Bagging, Random Forest on Full, Lasso, Ranked, PCA|Full, PCA|Lasso, PCA|Ranked data set towards the predictive modeling of violent crime 13 Machine learning models were ranked for accuracy using the mean square errors
  • Worked with team of 4 engineers towards the development of mathematical and statistical models
  • The top three predictors from the 13 models are consistent among the 13 models - validated based on model interpretability
  • Used R, Python

Point of Care Health Informatics for Proactive Epileptic Seizure Alert system
(Engineering Data Analytics)

Texas A&M University
  • Led a team of 6 engineers towards building supervised and unsupervised ML models to detect, predict and notify the patient before the seizure occurs and text the location of the patient to their loved ones upon predicting a seizure.
  • Developed big data machine learning algorithms using MATLAB and R to analyse electroencephalography (EEG) signals using real-time seizure data from patients
  • Converted raw EEG signals using filters (Fourier, Hilbert) and applied machine learning algorithms to training and test data sets (SVM and Random Forest) to acquire our Seizure Prediction Model
  • An effective detection algorithm with over 90 percent accuracy predicts up to an hour before a seizure occurs
  • Used R, Matlab
August 2015 - May 2016

Quality/Manufacturing Engineer

Clustering and Time Series analysis on blown film co-extrusion process
(Plastics Manufacturing)

Inteplast Group
  • Used Clustering and Time Series analysis to identify factors causing the variability of a polymer's physical property
  • Led a team (group of 7) of graduate students and operators in modeling 4 years of data classify and create the best physical properties for our polymer product
  • Found and Classified how different extrusion screw manufacturers change the physical properties of the plastics
  • Reported the findings to upper-management which is now used as a recipe / guide to create products with the right tolerances
  • Used Minitab, R
May 2014 - Aug 2014

Education

Texas A&M University

Bachelor of Science
Industrial Engineer - Engineering Data Analytics / Data Science Track
Mathematics - Minor
August 2011 - May 2016
Calculus 1, Calculus 2, Calculus 3, Differential Equations, Linear Algebra, Statistics 1, Statistics 2, Math Probability

Skills

Engineering Languages & Tools
  • Autocad, Solidworks, Matlab, R for Statistical Computing, Python, Minitab
  • Toyota Production System
  • Six Sigma, Lean manufacturing
  • Passed Professional Engineering Exam - Industrial & Systems Engineering
Programming Languages & Tools
Workflow
  • Mobile-First, Responsive Design
  • Cross Browser Testing & Debugging
  • Cross Functional Teams
  • Agile Development & Scrum

Interests

Apart from being a engineer, I enjoy most of my time being outdoors. In the winter, I am an avid gym-goer and novice judoka. During the warmer months here in Texas, I enjoy biking, ultimate frisbee, and running.

When forced indoors, I follow a number of sci-fi and fantasy genre movies and television shows, I am an aspiring golfer, and I spend a large amount of my free time exploring the latest technology advancements in the front-end web development world.


Awards & Certifications

  • PE (Professional Engineer) Industrial and Systems – Pass April 2018
  • FE (Fundamentals of Engineering) Industrial and Systems – Pass July 2017
  • Database SQL Associate - Oracle Certification – 2016
  • 1st Place - Texas A&M University - Engineering Showcase Competition 2016 (Highest Placing Non-Capstone Team)
  • 4th Place - Texas A&M University - Maximized profit for EDPR's wind turbine equipment reliability, performance, value - Capstone Competition 2016
  • Engineering Project Management - Texas A&M University – 2016
  • Six Sigma Green Belt - Institute of Industrial and Systems Engineers – 2015
  • Dean's Honor Roll - Texas A&M University - Dwight Look College of Engineering 2015