Lazaro Beas
I am a Computer Science & Finance student at the University of Texas - Rio Grande Valley. Currently, I work as an intern @ BNY for the FX Markets Engineering team. I always enjoy taking on new projects or building software. Have an idea in mind? Please reach out! I am a big fan of problem solving and love managing data. I have plenty of experience working in teams. In my spare time, you can find me mountain biking, watching sports, reading, or playing games. Zac main for life.
Skills
Languages
Python
Javascript
Typescript
C++
My favorite languages for systems programming, software engineering, and data analysis.
Front-End
HTML5
CSS
React
Next.js
Tailwind CSS
Chakra UI
My preferred technologies for front-end web development and component design.
Back-End
Django
Node.js
Yarn
MongoDB
Pandas
Sci-kit
Selenium
Numpy
My preferred technologies for back-end web programming, database architecture, and my favorite python packages.
Tools
Docker
Git
Github
Jetbrains
My favorite tools for version control, code editing, and container orchestration.
Projects
NBA Player Point Prediction Model
Back-end built using Python, Sci-kit, and Pandas. I developed a logistic regression model to predict whether an NBA player would score over x points in a given NBA game based on historical game data. The model accuracy ranged from 65%-33% with an average of 54% in a 1-month period. I also leveraged NBA-API to facilitate data collection and created my own dataset containing a player game splits. Used over 10,000 player data points to train various models, such as logistic regressions, gradient boosting, & XGBoost. Feature engineering and hyper parameter tuning was also considered as I looked to prevent overfitting and high accuracy scores. I preprocessed data by creating dummy variables for new features such as home/away game advantage, and binarized the target variable based on a threshold of x points. Front-end built with Next.js and Chakra UI. I also routed RESTful APIs that interacts with the python player models and the front end. Source code can be found here or you can check my Github. You can also click the picture to try it out yourself!
Prizepicks Webscraper
Using Python, Selenium, and Pandas, I successfully built a web scraper that can be deployed on the PrizePicks DFS website and retrieves all of the posted lines and props for a specific sport. It then renders all of the data into a .csv file filtered by player, prop type, and sport. This data is stored in a local database to make prop research more efficient. Source code can be found here or you can check out my YouTube channel for a tutorial.
Uniblock Studio
Uniblock Studio is a cutting-edge web development studio based in McAllen, Texas. Our mission is to craft modern, visually stunning websites that leverage the power of advanced technology stacks like Next.js and Svelte. By harnessing these innovative tools, we deliver seamless, responsive digital experiences that captivate users and drive business growth. Our team of skilled developers and designers collaborates closely with clients to understand their unique needs and goals, ensuring each project is tailored to their specific requirements. From conceptualization to deployment, we prioritize clean code, intuitive design, and optimal performance to create websites that stand out the competitive digital landscape. At Uniblock Studio, we are committed to staying at the forefront of web development trends and techniques, allowing us to deliver exceptional results that exceed expectations.
Hack Weekly - Hungry Lion
The project was created as part of the Hack Weekly hackathon, a platform where participants gathered to form teams and pit their skills against each other. We were presented with an intriguing challenge β to build a recipe app client using a designated API. I was primarily responsible for the design and front-end development aspects of the project. I took the lead in designing a user-friendly interface, while ensuring that the front-end development seamlessly aligns with the project&aps;s overall objectives. Our team was a dynamic mix of 6 intermediate programmers. Throughout the project, we all learned the importance of effective communication in ensuring the smooth functioning of our team. We worked in tandem, held each other accountable, and created an atmosphere of shared responsibility. This experience has been instrumental in honing our teamwork and collaboration skills, alongside our technical capabilities. You can find the source code here.