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<!DOCTYPE html>
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<div class="top-text">Laurence James-Woodley</div>
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<button> <a href="https://github.com/ljwoodley" target="_blank">GitHub</a></button>
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<body>
<div class="container-fluid main-container">
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</div>
<h3>
<a class='links' href='posts/2024-09-06/post.html'>Nasdaq-100
Dashboard</a>
</h3>
<h5>
Sep 06, 2024
</h5>
<p>
This dashboard provides an overview of the Year-To-Date (YTD) and
historical performance of the Nasdaq Futures Index and the Nasdaq-100
stocks. It was created as part of an end-to-end data pipeline <a
href="https://github.com/ljwoodley/nasdaq100_elt">project</a>,
leveraging Python, Dagster, dbt, and Quarto.
</p>
<a class='btn btn-outline-primary btn-sm' href='posts/2024-09-06/post.html'>Read
More</a>
<hr>
<h3>
<a class='links' href='posts/2023-12-07/post.html'>From Bash Commands to
Terraform Plans: A Reproducible Approach To The Cloud Resume
Challenge</a>
</h3>
<h5>
Dec 07, 2023
</h5>
<p>
In the pursuit to expand my skills and knowledge in Azure, I embarked on
the <a
href="https://cloudresumechallenge.dev/docs/the-challenge/azure/">Azure
Cloud Resume Challenge</a>. I first discovered this challenge through
Gwyn’s <a
href="https://www.youtube.com/watch?v=ieYrBWmkfno&t=3297s">video</a>
and I knew right away it’d be a fun project with tremendous learning
opportunities. Despite having zero experience with Terraform and having
only basic knowledge of GitHub Actions and Azure I was optimistic about
using my programming and process automation skills to take an
infrastructure as code approach to this challenge.
</p>
<a class='btn btn-outline-primary btn-sm' href='posts/2023-12-07/post.html'>Read
More</a>
<hr>
<h3>
<a class='links' href='posts/2023-09-09/post.html'>Building an Options
Scanner with Python and Azure Databricks</a>
</h3>
<h5>
Sep 09, 2023
</h5>
<p>
This project was created to discover high volume options contracts
within the first thirty minutes of market open. It scrapes data from the
<a
href="https://www.cboe.com/us/options/market_statistics/symbol_data/?mkt=cone"
target="_blank">Chicago Board Options Exchange</a> (CBOE) to find
potential profitable options based on some basic filters. This is a
rudimentary scanner that only identifies weekly options.
</p>
<a class='btn btn-outline-primary btn-sm' href='posts/2023-09-09/post.html'>Read
More</a>
<hr>
<h3>
<a class='links' href='posts/2023-08-27/post.html'>Azure Databricks
Setup and Configuration</a>
</h3>
<h5>
Aug 27, 2023
</h5>
<p>
This post documents the steps taken for the setup and configuration of
my Azure Databricks workspace. The objective was to create a
cost-efficient and versatile workspace in Databricks, aimed at providing
a sandbox environment for data engineering experiments.
</p>
<a class='btn btn-outline-primary btn-sm' href='posts/2023-08-27/post.html'>Read
More</a>
<hr>
<h3>
<a class='links' href='posts/2021-09-21/post.html'>Data Wrangling EP 2:
Calculating Monthly Recurring Revenue</a>
</h3>
<h5>
Sep 21, 2021
</h5>
<p>
I discovered this fantastic <a
href="https://blog.getdbt.com/modeling-subscription-revenue/"
target="_blank">post</a> written by Claire Carroll and I was instantly
inspired. I really enjoyed studying her process and figured that it’d be
a fun exercise to implement this data transformation in R. I’m not going
to convert the SQL code from Claire’s post to R code verbatim. Instead,
I’ll implement my own process for the data transformation. Overall, the
input and output data will be the same as in Claire’s post.
</p>
<a class='btn btn-outline-primary btn-sm' href='posts/2021-09-21/post.html'>Read
More</a>
<hr>
<h3>
<a class='links' href='posts/2021-08-22/post.html'>Query Challenge
#2</a>
</h3>
<h5>
Aug 22, 2021
</h5>
<p>
The <strong>option_transactions</strong> table shows options trades
executed on the thinkorswim trading platform. Query the table to
calculate the profit/loss made on each trade.
</p>
<a class='btn btn-outline-primary btn-sm' href='posts/2021-08-22/post.html'>Read
More</a>
<hr>
<h3>
<a class='links' href='posts/2021-08-21/post.html'>Query Challenge
#1</a>
</h3>
<h5>
Aug 21, 2021
</h5>
<p>
The <strong>orders</strong> table shows the number of products ordered
each day. Query the data to return the most frequent item(s) ordered
each day. Return multiple items if there are ties.
</p>
<a class='btn btn-outline-primary btn-sm' href='posts/2021-08-21/post.html'>Read
More</a>
<hr>
<h3>
<a class='links' href='posts/2021-05-02/post.html'>Exploring Florida’s
Uniform Crime Report Offense Data </a>
</h3>
<h5>
May 02, 2021
</h5>
<p>
This post focuses on exploring the 2019 crime report profiles of
Florida’s counties. The goal is to visualizing the similarities and
differences in the overall crime report profiles between counties.
</p>
<a class='btn btn-outline-primary btn-sm' href='posts/2021-05-02/post.html'>Read
More</a>
<hr>
<h3>
<a class='links' href='posts/2021-03-13/post.html'>Regression Analysis
of Forced Expiratory Volume </a>
</h3>
<h5>
Mar 13, 2021
</h5>
<p>
<p>The data used for this analysis was obtained from the Journal of
Statistical Education Data Archive. It consists of a sample of 654
subjects, male and female, aged 3 to 19 years old from the area of East
Boston during the late 1970s. This analysis attempts to determine the
relationship between forced expiratory volume (FEV) and smoking status
via linear regression.</p>
</p>
<a class='btn btn-outline-primary btn-sm' href='posts/2021-03-13/post.html'>Read
More</a>
<hr>
<h3>
<a class='links' href='posts/2021-03-05/post.html'>Data Wrangling Ep 1:
Parsing Data From A PDF </a>
</h3>
<h5>
Mar 05, 2021
</h5>
<p>
This post will be the first in a series of posts demonstrating how I
approach data wrangling problems. As an analyst in a clinical research
setting I spend a great majority of my time cleaning and transforming
data for analysis and thought it’d be a good idea to start documenting
my approach to various types of data.
</p>
<a class='btn btn-outline-primary btn-sm' href='posts/2021-03-05/post.html'>Read
More</a>
<hr>
<h3>
<a class='links' href='posts/2021-01-03/post.html'>From SQL to Python:
Data Science 101</a>
</h3>
<h5>
Jan 03, 2021
</h5>
<p>
As part of the final project for my Data Science For Clinical Research
class in graduate school I needed to create a machine learning model
capable of detecting asthmatic subjects. The purpose of this project was
not to create a production ready model using state-of-the art machine
learning algorithms but to understand the fundamentals of data science.
</p>
<a class='btn btn-outline-primary btn-sm' href='posts/2021-01-03/post.html'>Read
More</a>
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