
Driven Data Science Intern ready to thrive in demanding digital intelligence processing environments. Well-informed on latest machine learning advancements. Ready to combine tireless hunger for new skills with desire to exploit cutting-edge data science technology. To seek and maintain full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills.
Utilized programming languages such as Python or R extensively throughout the internship – applying relevant libraries and frameworks when appropriate.
Optimized machine learning models for improved prediction accuracy and performance.
Conducted exploratory data analysis on large datasets to identify patterns and trends. Analyzed customer behavior using predictive analytics techniques such as regression, clustering, and decision trees. Developed data visualizations using Tableau and R Shiny. Generated graphs and charts to detail analysis results. Tested, validated, and refined models to enhance prediction accuracy.
Hard Skills
AWS
C, C
Azure
SPSS
Excel
Python
Java
HTML
CSS
JS
SQL
Statistical Analysis
Linear Regression
Scikit-Learn
Decision trees
Logistic Regression