• Develop and maintain both frontend and backend components of the BLOOM™ platform, enhancing energy data integration.

• Collaborate with cross-functional teams to implement actionable insights for facility managers, optimizing energy consumption.

As a Business Operations Associate at Quantillium LLC, I support sales, marketing, and client engagement by leveraging data insights, optimizing tools, and delivering strategies to strengthen customer relationships and boost product visibility. My key responsibilities include:

• Sales Pipeline Optimization: Organizing and refining the sales pipeline to improve client acquisition, follow-ups, and conversion rates.

• Product Demonstrations: Conducting tailored demos of Quantillium’s product, aligning presentations with client-specific needs.

• Tool Integration & Automation: Setting up and integrating sales and marketing tools (e.g., Apollo, CRM) to enhance efficiency and data accuracy.

• Data Analysis for Marketing: Analyzing internal data to provide actionable insights for content strategy and impactful marketing materials.

• Scheduling & Client Coordination: Managing client scheduling and communication, ensuring a seamless experience across touchpoints.

• Email Marketing Management: Overseeing Apollo and other email tools to design, schedule, and distribute product updates, enhancing client engagement.

• Incorporated MongoDB for its schema flexibility and scalability, enabling fast updates and searches of geolocation-based capsule data, highlighting NoSQL's benefits for dynamic, geo-spatial content management over SQL databases.

• Adopted Webpack, enhancing performance through code splitting, Hot Module Replacement, and employing both uglification and minification techniques, which streamlined the build process, significantly reducing bundle size and accelerating load times, thereby optimizing the user experience.

• Implemented ElephantSQL for its data integrity and relational capabilities, structuring complex event, reminder, and weather forecast data for seamless, reliable data retrieval, critical to user planning and decision-making.

• Selected Express for its minimalist architecture to craft custom, modular middleware that efficiently handled complex routing for event and weather data, which allowed for precise control over the request-response cycle, optimizing performance and scalability in our Node.js environment.

• Employed Puppeteer in Snaps to automate content extraction from dynamically generated web pages, enabling accurate article synopsis generation, which facilitated deep interaction with web elements for comprehensive scraping, significantly improving the quality and reliability of data for user profiles.

• Utilized OpenAI's API for transforming scraped web content into brief, insightful synopses, leveraging its superior Natural Language Processing capabilities for accurate, context-aware article synopses.