Analyzed and validated product lifecycle data across engineering, sourcing, and operations teams to ensure accurate design transfer and change control for Sustainment solutions. Managed and optimized data integrity for BOMs, purchase specifications, and lifecycle documentation, enabling traceability and reducing data discrepancies. Automated reporting and tracking for material readiness, supplier compliance, and document submissions via SuCo, improving visibility and reducing cycle time. Collaborated with cross-functional teams to design implementation plans and risk mitigation strategies, leveraging data-driven insights for new product introductions. Configured and validated product data in Oracle and PLM systems for new product registrations and revisions, ensuring pricing accuracy and global traceability.

Marketing Data Analyst Intern at Happiroom

September 1, 2024 - April 1, 2025

Built data pipelines and used Power BI/Excel to segment demographics and evaluate campaigns, increasing ad effectiveness by 15% and downloads by 20%. Analyzed trends in user posts and sessions, boosting interactions by 30% and growing the user base to 5,000+. Applied clustering and logistic regression to personalize content strategies; used NLP for sentiment analysis, enabling AI-driven emotional support triggers. Created dashboards to track mood trends and retention, informing targeted support features for high-risk users. Ensured HIPAA compliance and collaborated with mental health professionals and cross-functional teams to align data insights with product enhancements to deliver continuous improvements.

Research Data Analyst at University of New Haven

August 1, 2023 - May 1, 2024

Optimized student data management/data migration processes using Slate and Ellucian, improving data consistency and accessibility by 30% through automated data validation and cleansing. Designed an interactive Power BI dashboard with 10+ key metrics, reducing response time by 50% and enhancing data-driven decision-making, by leveraging Power Query for data preprocessing and implementing advanced DAX measures. Coordinated with three departments, providing the Admissions Department with real-time insights, leading to a 15% reduction in operational costs while streamlining decision-making processes. Developed predictive models for course demand forecasting, achieving 85% accuracy and optimizing resource allocation by 25%, using machine learning algorithms and time series analysis in R. Extracted and analyzed data using SQL from institutional Oracle databases, identifying trends in admissions, acceptance rates, and demographic shifts to guide strategic planning and enhance applicant target

Product Analyst at Microsoft via Infosys

December 1, 2019 - February 1, 2022

Engineered data-driven solutions using Genesys tools and custom analytics pipelines, improving operational efficiency by 35% and reducing average handle time by 40% for Microsoft Products. Created Analytics Dashboard Panels with rich visualizations and in-depth reporting to highlight specific operational aspects and enable data-driven decision-making. Enhanced contact center performance by 25% through Genesys Interaction Analytics (GIA), applying NLP and speech analytics to extract actionable insights from call data. Built interactive dashboards and automated reporting systems in SQL and Power BI, boosting workflow efficiency by 5% and enabling real-time decision-making. Interacted with Microsoft customers, gathering data that improved customer experience, resulting in a 94% average response rate, a 90% call resolution rate, and a 20% boost in agent productivity. Created and managed JIRA tickets for issue tracking and collaborated with product teams to write BRDs, lead UAT, and support