micahtml,Micah Thornton,github

I am a highly skilled IT professional with expertise in web development, software engineering, and data analysis. I am proficient in HTML, CSS, JavaScript, Django, PHP, Python, SQL, MySQL, Linux, Kali Linux, and AWS. My experience with complex data structures, data visualization, and relational databases makes me capable of handling any data analysis challenge. I am also knowledgeable in networking, DNS, subnetting, VPN, IP networking, and routing.

In addition to my current skill set, I am an aspiring penetration tester with a strong interest in computer forensics. My expertise in bash, PowerShell, and VMware enables me to handle any challenge in this field. With my experience in troubleshooting and complex data structures, I am well-equipped to identify and resolve vulnerabilities quickly.

Overall, I am a well-rounded IT professional with a diverse skill set that allows me to tackle a wide range of challenges. My passion for technology and my commitment to staying up-to-date with the latest trends and advancements make me a valuable asset to any organization.

Find me on LinkedIn and check out my Blog

Tech Stack

Skills	Description
Languages
Frameworks & Libraries
Operating Systems
Computing & Social Platforms

Code Wars

Contribution Streak

Micah Thornton's Projects

behavior-tracker

Built using the Plotly python package and Excel Spreadsheets.

cybersec-portfolio

From vulnerability assessments to network monitoring and threat analysis, this repository serves as a comprehensive resource for enhancing digital security.

instagram-bots

These Python-based Instagram bot scripts allow you to automate simple tasks on the platform such as liking, following, and unfollowing accounts. With just a few lines of code, you can set up your bot to interact with targeted users, hashtags, and locations to grow your audience and engagement on Instagram.

mvp-predictor

Using the pandas library to scrape NBA season stat leaders data from basketball-reference.com, and then performs data cleaning and exploratory data analysis using Plotly to create interactive charts.

nba-team-dashboard

This repository contains a data visualization tool built using Power BI that provides an overview of the Los Angeles Lakers team performance. The dashboard includes game results, player statistics, and other important metrics. The data is collected from basketball-reference.com and cleaned using Python.