I am a passionate Computer Science and Data Science student with a strong drive to build a career around my love for software engineering and data science. I thrive on engaging in various types of software projects, with a particular affinity for Cloud Development, Web Development, and Machine Learning. Recently, I had the chance to serve as a Software Engineering Intern, which provided me with valuable industry experience and sharpened my problem-solving skills in a collaborative environment.
Beyond my academic and professional endeavors, I enjoy working on personal projects that allow me to apply the knowledge gained in the classroom to build meaningful solutions. These personal projects have provided me with unexpected learning experiences and have taught me invaluable lessons in overcoming challenges. I am driven to make a positive impact in the field by combining my technical expertise, passion for software engineering, and data science. I eagerly embrace opportunities to learn, collaborate, and contribute to the ever-evolving world of technology, constantly seeking ways to expand my knowledge and skillset.
University of Wisconsin-Madison | Attending
Relevant coursework: OOP, Data Structures, Algorithms, Data Modelling, Statistics, Discrete Mathematics, Linear Algebra, Artificial Intelligence, Machine Learning, Operating Systems, Database Systems, Full-Stack Web Development
Dell Technologies | May 2023 - Aug 2023
UW-Madison L&S | Jan 2023 – May 2023
FIEN Foundation | May 2022 — Aug 2022
pandora-cafe.com | Jan 2021 — Apr 2021
Python
Java
Go
JavaScript
TypeScript
R
C
C++
HTML
CSS
SQL
Flask
Django
NumPy
Pandas
Matplotlib
Scikit-Learn
TensorFlow
PyTorch
React.js
Node.js
Spring Boot
Linux
AWS
Google Cloud
Firebase
RabbitMQ
React Native
Git/GitHub
PostgreSQL
MongoDB
Docker
Kubernetes
I helped a non-government organization in Tanzania redesign their website to enhance engagement and search rankings. Our mission is to enable needy students in Tanzania to achieve better education outcomes by removing the barriers to school attendance and hindrances to quality education.
View CodeThe microservice is a Django-based application that enables users to track real-time sentiments on Reddit or Twitter posts. It utilizes a Recurrent Neural Network for sentiment analysis on comments or post contents. The tracked data is continuously updated using Celery and RabbitMQ, ensuring up-to-date and accurate sentiment analysis results.
View CodeThis project is a command-line interface (CLI) tool created with the intention of streamlining the file-uploading process to various cloud storage platforms. This project was inspired by my experiences as an Undergrad TA, where I frequently assisted students in troubleshooting their virtual machines and encountered the need to efficiently back up large directories.
View CodeThe First Aid and Emergency Assistant is a web application that provides first aid instructions and helps users find nearby hospitals in case of emergencies
View CodeA Flask API that detects disasters from news tweets on Twitter using Scikit-Learn's Support Vector Machine model and saves them in a Google Sheet document.
View CodeThis project provides a web application that displays COVID-19 statistics for the United States. It is built using Django and HTML, allowing users to view and analyze data related to COVID-19 cases, deaths, and vaccination rates in the US.
View Code© Hai La. All Rights Reserved.
