Professional Experience
January 2025 - June 2025
Costco Wholesale, Seattle, WA
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Developed an AI-powered sentiment analysis model to categorize Costco product and service feedback (positive, neutral, negative) from public social media platforms (X, Reddit, Instagram, Facebook).
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Implemented BERT-based sentiment analysis and text summarization techniques to extract actionable insights, improving data-driven decision-making for new product and service recommendations.
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Built an AI-driven summarization chatbot for real-time, interactive reporting, enabling stakeholders to explore VoC insights dynamically through conversational AI.
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Led web scraping and public API integration to collect and clean large-scale social media data, ensuring high-quality input for sentiment and trend analysis.
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Designed interactive dashboards using Power BI and Plotly, incorporating knowledge graphs, propensity scoring, and social graphs to showcase customer sentiment trends effectively.
June 2024 - December 2024
Genmab Inc., Princeton, NJ
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Designed and deployed an AI-driven heatmap interface using Tableau and dbt to visualize potential trial participants, enabling precision recruitment strategies and reducing timelines by 15%.
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Collaborated with multiple teams to enhance data integrity and build automated DataOps pipelines using Snowflake and dbt for data modeling and real-time integration, improving transformation efficiency by 25% and enabling model-driven insights.
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Managed and analyzed large datasets in Snowflake, developing ETL processes and contributing to business intelligence by improving data workflows and integration leading to data-driven insights.
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Engaged in AI/ML initiatives to generate advanced recruitment insights, improving forecast accuracy by 20% and enhancing business intelligence.
May 2022 - August 2023
TATA Consultancy Services, Bangalore, India
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Processed and analyzed 500,000+ records, enhancing data quality and creating 50+ new features, improving predictive model accuracy by 15%.
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Assisted in developing regression, classification, and clustering models, leading to a 10% increase in model efficiency and optimizing 3 major business processes.
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Utilized AWS and Python to streamline data workflows, reducing processing time, and deployed models for real-time analytics.
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Developed 15+ interactive dashboards, translating complex insights into actionable strategies, improving operational efficiency for clients in finance and retail.
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Worked closely with business consultants and data scientists to align technical insights with business goals, contributing to fraud detection, customer behavior analysis, and financial risk management.
Experience at School
• Analyzed monthly newsletter analytics using various metrics to assess audience engagement and reach. Communicated insights with team members and provided actionable recommendations to improve outreach and engagement strategies.
• Utilized data-driven approaches to support strategic decision-making by identifying key trends in user engagement, tracking project performance metrics, and contributing to data visualization and reporting efforts that informed content strategy and operational improvements.
• Collaborated with the CEIE Resource Creative Designer to research, organize, and source relevant data for resource creation, ensuring alignment with project goals and audience needs.
• Monitored and tracked project progress using Microsoft Teams and ASANA, ensuring tasks were completed on time and aligning team efforts toward strategic priorities.
Sep 2024 - Present
Mar 2025 - May 2025
Mar 2024 - May 2024
• Designed, created, and distributed diverse marketing materials such as posters, stickers, banners, and sidewalk chalk messages to increase awareness and engagement with the NSSE survey.
• Strategically planned and executed student outreach initiatives, attending various student group and community meetings, effectively driving participation in the survey.
• Responsibly addressed student inquiries and conducted additional research to ensure accurate and informative responses regarding the NSSE survey process and data utilization.
Jan 2025 - Mar 2025
