π I'm a passionate Data Science graduate student at the University of Colorado Boulder, building impactful projects across Machine Learning, Data Engineering, and Analytics. I aim to solve real-world problems by blending clean code with deep business insight.
π I'm especially interested in roles like:
- Machine Learning Engineer
- Data Engineer
- Data Analyst
- Data Scientist
Built a predictive ML system analyzing GDP, happiness index, suicide rates, and more to assess suicide risk.
π Models Used: XGBoost, KNN (97% Accuracy), Random Forest
π¬ Focus: Socioeconomic risk factors, real-time prediction planning
Analyzed anxiety levels using lifestyle, physiological, and behavioral data.
π ML Stack: PCA, K-Means, Apriori, Naive Bayes, SVM, XGBoost
π‘ Insights: Stress, caffeine, and sleep patterns heavily impact anxiety
π LinkedIn
π GitHub Portfolio
Letβs collaborate and build something impactful! π