I graduated with a degree in Mathematics and, during my final three semesters, chose to minor in Computer Science. What started as a last-minute decision quickly turned into a passion—I was hooked from the very first class. After graduation, I dedicated five months to teaching myself additional technologies, building a website, mastering Git, studying Cracking the Coding Interview, and grinding through LeetCode and HackerRank to bridge the gap between myself and traditional Computer Science graduates.
That effort paid off when I landed my first role as a Platform Services Engineer at a cloud security company in Houston, Texas. After moving on from that role, I continued to sharpen my skills through freelance and self-directed projects. Through both my academic background and professional experience in software, I discovered a strong fascination with data analysis that has since grown into a career direction.
Currently, I’m studying for the actuarial Exam FM (Financial Mathematics) to build on my quantitative foundation and strengthen my expertise in risk, pricing, and financial modeling. I’m excited to combine my mathematics background, software engineering experience, and growing actuarial knowledge to create meaningful insights and be a valuable asset to my future team.
I have extensive industry and open source experience. I have working knowledge of Erlang, Java, Python, Ada, MySQL, LaTex, as well as a host of other services including AWS, Git, Sage Math, NetBeans, Visual Studio, SQL Databases, NoSQL databases, etc.
I have experience using HTML, CSS, javascript, jquery, bootstrap, React, Tailwind, Django.
I have experience using Python's Kivy library for mobile development and am enjoying further exploration.
I use Python (Pandas, NumPy), SQL, and Excel to clean data, surface trends, and support risk & pricing decisions. I'm currently preparing for actuarial Exam FM, followed by Exam P
.My mathematics degree specializes in statistics - I'm knowledgeable of such subjects as combinatorics, probability theory, inferential statistics, etc.
I'm knowledgeable of topics that include calculus, linear algebra, analysis, differential equations, and more. I also have graph theory research experience, as I sought to test the validity of the Graph Reconstruction Conjecture.
This web app can be used to manage and store recipes, lists (shopping, to-do, etc.), and your kitchen inventory of groceries. It utilizes HTML, CSS, Bootstrap, jQuery, PostgreSQl, Docker-compose, user authentication, and CRUD operations.
View WorkI have contributed to open source projects, such as Fairlearn, which seeks to help data scientists improve fairness of AI systems. I implemented the new 'count' metric, in order to decipher the number of data points per group and provide fairer analysis.
View WorkI utilized HTML, CSS, and Bootstrap to create a website for Enviroblue, a local small business specializing in sanitation.
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