Software

Santa Clarita, CA ***** 661-***-**** **************@*****.*** www.linkedin.com/in/kasey-savage

S K I L L S P R O F E S S I O N A L

S U M M A R Y

T E C H N I C A L

S K I L L S

E D U C A T I O N

W O R K E X P E R I E N C E

Bachelor of Science

Mathematics-Computer Science

University of California, San Diego

06/2024

3.58 GPA

Minor in Cognitive Science

High School Diploma

Canyon High School

05/2021

4.5 GPA

Honor Roll

AP Scholar with Distinction

(Calculus, English, Computer Science)

Software Engineer

GLBL Foundation Remote

Developed software to track and manage data for solar water filtration devices deployed globally.

Optimized system for real-time device monitoring and future integration of water quality data.

Designed efficient data management solutions to enhance device performance and field operations.

11/2024 to Present

Recent graduate with a Bachelor's in Mathematics and Computer Science from UC San Diego, with a strong focus on both software engineering and data science. Skilled in developing machine learning models, analyzing complex datasets, and using data-driven insights to solve real-world challenges. Experienced in Python, data visualization, and various machine learning frameworks. Passionate about designing scalable software systems, optimizing algorithms, and delivering data-driven solutions that enhance decision-making and address business needs. K A S E Y S A V A G E

Management

Teamwork

Problem-Solving

Critical Thinking

Algorithms

Statistics

Machine Learning

Data Analysis

Data Visualization

Communication

Git

Python

Java

C++

C

SQL

JavaScript

HTML

CSS

Model Evaluation & Tuning

Data Preprocessing

OOP

P E R S O N A L P R O J E C T S

Generating Historically Famous Names Using LSTM RNNs 06/2024 Built an LSTM RNN to generate human-like names, optimizing with Adam optimizer and Categorical Crossentropy.

Achieved realistic name generation using temperature-controlled sampling in TensorFlow Keras.

Exploring Sentiment in Hip-Hop: A Study of the Top 1000 Songs Analyzed lyrics using NLP and VADER, finding 17% negative, 16% 06/2024 positive, and 67% neutral sentiment.

Showcased sentiment analysis to better understand trends in hip-hop music.

Student Work Helper Web Application

Present

Developed a web app to help students manage assignments and class schedules using Flask, JavaScript, and HTML/CSS along with predictive analytics.

Built a weekly scheduling interface to optimize time management, integrating Git for version control.

Student Manager

UCSD Catering La Jolla, CA

Led a team of 10+ Student Leads, improving performance through strategic guidance.

Managed events for up to 1,000 guests, using data to optimize satisfaction and efficiency.

Coordinated with vendors and staff to streamline operations and ensure smooth execution.

11/2021 to 03/2024

Contact this candidate