Data Glacier (IT Services & IT Consulting)
Data Science Intern
PLACEHOLDER
Description:
- Analyzed 40,000+ rows of customer data to uncover trends and optimized feature engineering for a ML model that predicts a customer’s likelihood of buying a term deposit, enabling targeted marketing and resource optimization
- Conducted extensive model testing, including logistic regression, decision trees, random forests, and neural networks. Final model was a Keras NN model that achieved a 98%+ accuracy score
- Utilized Flask and React to deploy the final model with an intuitive user interface that ensured accessibility and seamless utilization of the ML model by other analysts, which improved workflow efficiency by over 30%
Skills:
Exploratory Data Analysis
React.js
Pandas
NumPy
Logistic Regression
Decision Trees
Random Forests
Neural Networks
Statistics:
12
Weeks Of
Internship
5
Projects
Completed
10