• Led small-group tutoring sessions for 2–4 students per class across 8th–10th grade, delivering 12-20 sessions per week.

• Delivered 2-4 customized lesson plans per week aligned to individual skill gaps in algebra and geometry.

• Improved student assessment scores by ~15% on average over a semester through targeted practice.

• Tracked progress using weekly performance data, adjusting instruction plans for 100% of assigned students.

• Selected for a competitive fellowship among students from 11 CUNY senior colleges.

• Built and analyzed datasets using Python, Pandas, NumPy, SQL, and scikit-learn, completing 5+ technical projects involving EDA, feature engineering, and machine learning.

• Participated in 75+ hours of meetings on statistical modeling, data visualization, and data pipelines, applying best practices to real-world datasets with 10k+ rows.

• Selected for a 10-week mentorship program (~10% acceptance rate) pairing with a Google Software Engineer for weekly 1:1 coding and interview prep sessions.

• Completed 10+ mock technical interviews and behavioral coaching sessions, improving algorithm problem-solving speed and clarity of explanations.

• Facilitated daily Scrum meetings for a 5-member engineering team, removing blockers and maintaining 100% sprint completion rate across 6 sprint cycles.

• Led Sprint Review demos and coordinated roadmap planning, helping deliver 3 core product features on schedule.

• Spearheaded the development and optimization of a responsive landing page using HTML, CSS, and Bootstrap, resulting in a 15% reduction in bounce rate across mobile platforms.