Welcome to my Data Science Portfolio. I hope you enjoy the contents of this website and that it is
successful in showcasing my skills in Data Science. I also hope that it can be of service to those interested in Data Science.
My interest in Data Science began after I learned about the
job possibilities that I could possibly do after I earned my MBA.
Since that time, I have been periodically learning about this
subject and working on a few projects here and there on the side
while I have been working full-time at my Medical Technologist job.
It is a desire of mine to obtain a work from home position.
I do have experience working from home since this is how I
earned my MBA.
. This has my current
MBA College Transcript
. Please notice
that I did very well in the statistics course.
My data science profiles:
CareerCon 2019 - Help Navigate Robots
Ranking: 98% (Lowest is best)
This competition helped me to advance in the Kaggle ranking system.
Housing prices Competition for Kaggle Learn Users
Completed: Aug 2020
OSIC pulmonary competition
What I learned from the OSIC pulmonary fibrosis competition
Completed: Sep 2020
Main objective and accomplishment: Transform a json file into a pandas dataframe which
was then converted into CSV file. CSV file was then to be used
for the program Orange.
See the comment section to the notebook above to see what I learned from this competition.
Completed: Sep/Oct 2020
Connect X competition
Completed as part of a course (Reinforcement Learning Course)
Completed: Nov 2020
A small project:
I wrote code
to help me to write code for this website.
Completed: October 28, 2020
From Kaggle Courses:
Intermediate Machine Learning
Intro to Deep Learning
Intro to Game AI and Reinforcement Learning
Intro to SQL
Machine Learning Explainability
Natural Language Processing
Courses I audited without obtaining a certificate:
Kaggle Python Class
Edx Python Absolute Beginner class
Edx Python for Data Science
Edx Probability and Statistics Using Python
Edx Python Fundamentals
Certs Big Data and Hadoop:
Lesson 1 Introduction
Lesson 2 Hadoop Architecture
Lesson 3 Hadoop Deployment
Lesson 4 MapReduce
Lesson 5 Advanced HDFS and MapReduce
Lesson 1 Feild Types and Visual Cues
Lesson 2 Data Connection in Tableau Interface
Lesson 3 Organizing and Simplifying Data
Lesson 4 Formatting and Annotations
Lesson 5 Special Field Types
Lesson 6 Generated Fields
Lesson 7 Chart Types
Lesson 8 Calculations
Lesson 9 Parameters
Lesson 10 Mapping
Lesson 11 Statistics
Lesson 12 Dashboards
Microsoft Word, Excel, and Access. In fact one of my supervisors
in my evaluation recognized my expertise in Access.
Basic webpage/website building (as is evidenced by this website)
for this website
Microsoft Expression Web
Orange (which I learned in the OpenVaccine Kaggle competition).
This is an example of an Orange
workflow created for the OpenVaccine Kaggle Competition.
This is a statistics project I worked on for my MBA
which dealt with
this dataset. Here
is some data visualization associated with that dataset created from
Miscellaneous Concepts I have learned
On November 11, 2020, I was motivated by
in a Kaggle
competition to learn from
that Pytorch is
very similar in concept to Tensorflow but uses different coding to
essentially do the same thing.
I also learned from
I would like to start using JupyterLab rather than Jupyter Notebooks
to do coding work. I really liked how you can do the dark theme with
JupyterLab which required code to accomplish this in Jupyter Notebook.
I have also determined that when I write notebooks, I need to state
the objective of what the notebook is trying to accomplish. I also
need to state what each line of code is trying to do.
Please click here to see a comprehensive list bookmarks,
books, github repositories, and data science articles I have
at my disposal to assist me in doing data science.