Dedicated Data Scientist with hands-on experience from three internships & a Co-Op, seeking opportunities in Data Science, AI/ML, and Software Engineering. A recent graduate known for exceptional research abilities, technical expertise, and strong problem-solving skills.
Big Data Project (Chicago Public Schools):
- Developed an early warning system for CPS using big data analytics and implemented ML algorithms for predictive modeling, along with conducting temporal and geospatial analyses on the 2011-2012 Progress Report Cards dataset.
- Skills/Tools Used: Data preprocessing, machine learning, interactive dashboard development.
Application of Supervised Machine Learning Model:
- Analyzed Twitter data using NLP & ML techniques to build a classifier with Python scikit-learn, predicting users' political inclinations (Republican/Democratic) based on their tweets.
- Skills/Tools Used: Natural Language Processing (NLP), machine learning, Support Vector Machines (SVM), 4-fold cross-validation.
Machine Learning Application for Breast Cancer Subtypes Data Analysis:
- Conducted an in-depth analysis of breast cancer subtypes using advanced statistical and ML techniques.
- Skills/Tools Used: Logistic regression, Linear Discriminant Analysis (LDA), Naïve Bayes, K-Nearest Neighbors (KNN), R programming, data normalization.