DINA BATROS
San Diego,CA
It’s not what happens to you, but how you reach to it that matters.
Epictetus
Summary
Junior Data Scientist with two years of experience in data analysis, machine learning, and statistical modeling. Adept at using Python, R, and SQL to derive actionable insights and drive business success. Passionate about solving complex problems and contributing to team objectives.
Overview
2
2
year of professional experience
3
3
Languages
Projects
Breast Cancer Prediction
• Developed a predictive model for breast cancer detection using Python and machine learning algorithms.
• Analyzed and processed a dataset from UCI Machine Learning Repository, achieving an accuracy of 95%.
• Employed feature selection techniques to identify the most significant predictors of breast cancer.
• Utilized LIME (Local Interpretable Model-agnostic Explanations) to interpret and explain model predictions, ensuring transparency and trust in the model's decisions.
• Presented findings and model insights to a mentor, highlighting the potential for early detection and improved patient outcomes.
Work History
Test Technician
Qualcomm
10.2022 - 01.2024
- Verified functionality of automotive platforms.
- Set up test devices using hand tools or automatic test methods.
- Tested Emulation Platform and identified defects using testing techniques.
- Documented test results and reported issues to development's development team for resolution.
Skills
SQL Proficiency
Data Conversion
Machine Learning
Problem Solving
Communication Skills
Data Extraction
Model Optimization
Team Leadership
Data Analytics
Tableau
Education
6-month intensive course in data science, Machine Learning, Python, SQL -
05.2024
Bachelor of Science in Computer Engineering -
05.2022
GPA: 3.4
Citizenship
US Citizen
Languages
Arabic
Native or Bilingual
Timeline
Test Technician - Qualcomm
10.2022 - 01.2024
Springboard - 6-month intensive course in data science, Machine Learning, Python, SQL,
San Diego State University - Bachelor of Science in Computer Engineering,
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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