- Built a classification model in Python with Scikit-learn to identify food-insecure patients based on demographic data, achieving an initial 70% accuracy by implementing algorithms like XGBoost, logistic regression, and decision trees.- Improved model performance to 85% accuracy through hyperparameter tuning, effectively handling unbalanced data challenges for more reliable predictions.

- Developed and implemented a mathematical model in Python using packages like Pandas, SciPy, and NumPy to categorize over 100,000 customer transactions, improving classification accuracy by 15%. -Analyzed transaction patterns and historical data with Python, leveraging Matplotlib and Plotly for visualizations of transaction cadence vs. transaction quantity.

As a Resident Assistant at Adelphi University, I collaborate with a diverse team to foster a supportive and inclusive community for students living on campus. Through teamwork, I take on leadership responsibilities such as organizing and leading community-building activities, providing mentorship to residents, and addressing concerns to ensure a safe and enriching living environment. Together, we promote personal growth, academic success, and community engagement among residents, creating a positive and welcoming atmosphere.

- Trained a classification model using Scikit-learn on current client company data and financial indicators, employing an aggregation of multiple classification algorithms to identify high-performing prospective companies and achieving a 75% prediction accuracy.

- Applied a Marketing Mix Model using Lasso and Ridge Regression to optimize budget allocation across media channels, maximizing ROI and enhancing predictive accuracy.- Collaborated with a cross-functional team to create data visualizations, dashboards, and reports, presenting actionable insights to stakeholders for strategic decision-making.

I provided comprehensive tutoring services to undergraduate students in statistics courses. My responsibilities included:Conducting one-on-one and group tutoring sessions to assist students in understanding statistical concepts, methods, and applications.Clarifying complex statistical theories and formulas, and providing practical examples to reinforce learning.Assisting students with homework assignments, projects, and exam preparation, ensuring their mastery of statistical techniques.Developing personalized tutoring plans based on students' learning styles, strengths, and areas for improvement.Tracking and monitoring students' progress, identifying challenges, and implementing effective strategies to enhance their academic performance.Collaborating with faculty members and academic advisors to support students' academic success and promote a positive learning environment.