Syosset, New York, United States
Cornell University Information Science graduate with internship and professional experience in data analytics, reporting, dashboard development, and data-driven decision making. Experienced using SQL, Python, Tableau, Power BI, Excel, and statistical analysis to transform data into actionable business insights. Through roles in nonprofit analytics, community data reporting, and business intelligence projects, I have developed strong skills in data visualization, stakeholder communication, and problem solving. Seeking full-time opportunities in Data Analytics, Business Analytics, Business Intelligence, Operations Analytics, or Strategy. Open to relocation. U.S. citizen
● Resold exclusive sneakers using Nike SNKRS, year to date generating over $7,500 in profit by leveraging market trends and demand ● Conducted market analysis to forecast demand and optimize purchasing strategies, ensuring profitability ● Streamlined inventory management and cultivated buyer relationships to enhance efficiency and customer satisfaction
● Led weekly discussion sessions and held office hours to support student understanding of course concepts in data analysis and visualization ● Provided detailed feedback on assignments and projects using structured rubrics, ensuring consistency and clarity in grading ● Assisted students in debugging code and refining analytical approaches using tools such as R, Python, and GitHub ● Collaborated with instructional staff to streamline grading workflows and improve course delivery and student engagement
● Participated in Cornell’s Work Study Program as an intern for both Cornell University and the Community Foundation of Tompkins County, driving data analysis and integration initiatives to advance the foundation’s objectives ● Utilized statistical software and programming expertise in Python and R to evaluate and synthesize community data, empowering strategic decision-making ● Designed and implemented data-driven insights to optimize community outreach and program development efforts.
● Analyzed engagement and performance metrics across overseas social media platforms to evaluate content effectiveness and user behavior trends ● Developed data-informed content strategies by identifying high-performing posts and optimizing posting schedules to improve reach and engagement ● Monitored and maintained daily operations of international social media accounts, tracking key KPIs and reporting insights to support marketing decisions ● Collaborated with team members to execute data-driven brand promotion initiatives and ensure consistency across global audiences
● Programmed and operated drones to collect ecological video and sensor data across aquatic and terrestrial environments ● Processed and analyzed drone data using Python, OpenCV, and GIS tools to identify patterns in habitat structure and species distribution ● Developed automated survey workflows and contributed to data pipelines supporting long-term ecological research