Professional Summary
Detail-driven and enthusiastic Data Science undergraduate with hands-on experience in analyzing data, building machine learning models, and creating impactful visualizations. Proficient in Python, SQL, and R, with a solid background in data manipulation and statistical modeling.
Work Experience
Marketing Analytics Intern - Alcatel Lucent Enterprise
Feb 2023 – Present
- Utilized Oracle BI and SQL for campaign performance insights.
- Built dashboards in Tableau and Excel to track real-time metrics.
- Supported marketing initiatives through data prep and Python analysis.
Accounting/IT Intern - Garry A. Jones & Associates
Mar 2021 – Sep 2021
- Prepared financial reports and tax returns for individuals and businesses.
- Created Excel reports using charts, formulas, and pivot tables.
- Provided IT support to improve operational efficiency.
Education
University of California, Riverside
B.S. in Data Science - December 2025
Projects
-
YouTube Video Topic Classifier using Mistral LLM and Google API
- Streamlit app that predicts video categories using metadata and transcripts
- Powered by Mistral LLM and YouTube Data API for real-time inference
-
Image Denoiser Model using PyTorch
- Trained PCA and U-Net models to remove noise from CIFAR-10 dog images
- Implemented and tested on GPU with PyTorch for faster training
-
Traffic Stops Data Analysis using PySpark
- Built a scalable ETL pipeline to clean and analyze multi-state traffic stop data
- Created an interactive dashboard to explore racial and regional patterns in policing
-
Academic Success Analysis using Machine Learning
- Explored student demographics and performance data to uncover patterns
- Built a Random Forest model to predict likelihood of academic success
-
Used Car Price Prediction (Kaggle challenge using regression models)
- Explored car price data with EDA and feature correlation analysis
- Trained regression models to predict prices based on mileage and year
Technical Skills
- Languages & Tools: Python, R, SQL, C++, Pyspark, Pandas, NumPy, Scikit-Learn, Pytorch
- Visualization: Matplotlib, Seaborn, Power BI, Tableau
- Analytics: Oracle BI, Financial Analysis, SalesForce