
Dynamic professional with experience at Google, skilled in SQL and advanced data analysis. Proven track record in enhancing model quality and operational efficiency through insightful feedback and stakeholder communication. Adept at utilizing Tableau and Power BI for impactful reporting, driving data-driven decisions in fast-paced environments.
NYC Public Schools Attendance & Chronic Absenteeism (Capstone Project), Analyzed NYC public school attendance data (2017-2021) to identify key drivers of chronic absenteeism across Primary, Middle, and High school levels. Cleaned, merged, and transformed datasets using Python (Pandas) and Excel to build accurate KPI metrics and trend reports. Built interactive Tableau dashboards to compare attendance trends across years, districts, and school levels using KPIs and visual analytics. Applied Holt's Linear (ETS) forecasting in Python/Excel to project attendance through 2025 and highlight potential risk patterns. Presented data-driven insights and actionable recommendations to support improved student attendance outcomes.