Yussef Ali
Denton,Tx
Summary
Motivated and detail-oriented Data Scientist with a strong academic foundation in developing data-driven solutions and streamlining workflows. Experienced in constructing and automating scalable data pipelines to support effective decision-making and enhance operational efficiency. Passionate about leveraging analytical skills to tackle complex challenges, with a commitment to continuous learning and professional growth in the tech industry.
Overview
1
1
year of professional experience
Work History
Customer Churn Prediction
Project
09.2023 - 11.2024
- I performed exploratory data analysis by visualizing several metrics across the churn attribute.
- Next, I preprocessed the data, looking for any duplicate or null values, and changed categorical variables into numerical data using OneHotEncoder.
- I then saw that the dataset was very imbalanced, so I used an oversampling method (SMOTE) to help improve model accuracy and handle bias.
- Boosted logistic regression performance from 80% to 90% accuracy with Random Forest.
- Developed strategies to reduce costs by negotiating with vendors, optimizing inventory levels, and streamlining processes.
- Identified cost reduction opportunities through data analysis and comparison of historical pricing trends.
Business Analyst Intern
Capital One
McLean, VA
06.2024 - 08.2024
- As a Business Analyst, I met with various leaders to learn their stories and best practices, gaining valuable insights that informed my approach
- I strengthened my SQL knowledge, leveraging what I learned to manipulate large datasets efficiently
- Additionally, I honed my ability to communicate insights effectively, focusing on telling compelling stories with the data to make my findings more engaging and impactful
Life Expectancy Predictor
Project Details
08.2023 - 09.2023
- Throughout this project, I worked with a Kaggle dataset containing over 12 attributes.
- I performed data cleaning and exploratory analysis, creating visualizations using Python.
- After splitting the data into training and testing sets (80/20), I trained a linear regression model using Pandas, NumPy, Seaborn, and Scikit-learn.
- I evaluated the model's performance with metrics like the R² score, RMSE, and generated a residual plot.
Education
BS - Data Science
University of North Texas
Denton, Tx05.2025
Skills
- Python
- C
- R
- SQL
- JavaScript
- Snowflake
- Tableau
- RapidMiner
- Microsoft Office
- Statistical Analysis
- Data Visualization
- Customer Focused
- Data Analysis
- Problem Solving
- Continuous Learning
- Cost-benefit Analysis
Awards
University of North Texas, 08/01/22 - Present, Blue and Green scholarship based on merit. Deans & President's List
Timeline
Business Analyst Intern
Capital One
06.2024 - 08.2024
Customer Churn Prediction
Project
09.2023 - 11.2024
Life Expectancy Predictor
Project Details
08.2023 - 09.2023
BS - Data Science
University of North Texas
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