Aagam Shah
Data Analyst at The Marcus Harris Foundation
About
Education
Clark University
Master, Data Analyst / May, 2025 (anticipated)
Experience
The Marcus Harris Foundation
Data Analyst / February, 2025 — May, 2025
Researched and analyzed nonprofit viability for marketing outreach using data-driven insights, industry trends, and demographic analysis. Applied critical thinking to identify high-impact organizations, improving stakeholder identification by 20% and outreach effectiveness by 30%. Assessed and optimized email marketing campaigns by analyzing open rates, click-through rates, and conversions. Leveraged A/B testing for subject lines, content, and audience segmentation, increasing engagement and response rates by 30%. Implemented data-driven segmentation and personalization, refining outreach strategies to enhance nonprofit engagement. Adapted campaign parameters based on performance metrics, driving a 30% improvement in nonprofit partnerships and overall marketing ROI.
Clark University
Teacher Assistant / January, 2024 — May, 2024
Led interactive tutoring sessions for 30+ students, demonstrating leadership, open-mindedness, and strong communication skills. Effectively conveyed complex database concepts like SQL and data normalization through personalized lesson plans, enhancing student engagement and performance. Evaluated assignments and exams for 50 students with meticulous attention to detail, utilizing SQL, technical support skills, and software systems to provide constructive feedback, uphold academic standards, and streamline the professor's workload. Designed workflow-optimized, interactive quizzes with clear instructions and feedback mechanisms, reinforcing key concepts and boosting student engagement by 25%.
Tata Consultancy Services
Data Analyst / January, 2023 — June, 2023
Developed an invoice management system for a national farming equipment company, optimizing business operations and E-Commerce insights to reduce the accounting team’s workload by 20 hours per week. Applied performance tuning and AI-integrated dashboards using statistical tools, cutting processing time by 25% within an Agile framework. Designed and launched websites for two clients, leveraging time management, finance forecasting, and strategic planning to expand digital presence and increase online sales by 30%. Led automation tool integration, building BI solutions that reduced manual tasks by 40 hours per month, enhancing team efficiency. Conducted business and customer behavior analysis using Python and SQL, streamlining data cleaning, visualization, and reporting accuracy, improving decision-making, and boosting customer retention by 15%.
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