Led the development and launch of an in-app insights platform, integrating advanced visualizations and statistical analyses for real-time charts, scorecards, and reports. This improved customer decision-making and increased platform adoption.Reduced data anomalies by implementing a QC process using summarization, lemmatization, and sentiment analysis to automatically flag inconsistencies, enhancing data integrity and minimizing manual reviews.Improved data accessibility and product insights by integrating Snowflake, Looker, and dbt, while using Datadog for real-time monitoring and Pendo to track user engagement, driving product enhancements and operational visibility.Developed a custom backend architecture enabling real-time ingestion of diverse survey data via APIs, supporting customized survey designs and streamlining data collection for accurate insights delivery.

Led the launch of an analytics platform integrating data on over 5 million executives and 3 million companies, featuring comprehensive resumes, contact info, and financial details, which significantly enhanced strategic decision-making and market insights.Achieved a 55% candidate sourcing rate within six months through the development and leadership of an AI-driven search tool, leveraging advanced natural language processing and machine learning to streamline the identification and engagement of top executives.Managed the development and release of a LinkedIn-integrated Chrome extension, enhancing data accessibility and user productivity by providing immediate access to in-depth executive and company financial insights.Drove the adoption and refinement of internal and OpenAI models for a matching system, facilitating precise discovery of similar executives and companies, and significantly improving targeting accuracy for users.

Improved time-to-hire by 22% and enhanced the efficiency of talent acquisition by leading product management efforts for an AI-driven solution that leverages Natural Language Processing (NLP) to analyze large datasets, effectively predicting similarities among skills and job titles.Reduced manual reporting by 60% by developing and maintaining an analytics platform that leverages HubSpot, Snowflake, and Looker, enabling comprehensive reporting and alerting on business development and operational performance.Ensured the accuracy and reliability of data flowing into and out of the data warehouse and supported data-driven initiatives across the organization by performing all data analytics modeling tasks using SQL and Python, version-controlling data models with GitHub, and orchestrating hourly builds of 400+ models with dbt.Enhanced overall data accessibility and reduced data synchronization outages by more than 75% by supervising the development of products that synchronize data to and from both relational and graph databases, ensuring seamless integration with third-party tools.

Reduced project timeline overruns by 29% over 3 years through the development of a real-time data capture product that serviced project timeline insights to all stakeholders, enabling data-driven decision-making, and streamlining project management processes.Achieved a 35% reduction in the number of project delays and improved project management efficiency by developing data products that enabled stakeholders to make informed decisions and optimize resource allocation through comparison and forecasting of future projects with historical projects.Reduced maintenance-related downtime for refiners by 15% through the implementation of a machine learning-based product which facilitated accurate forecasting of system shutdown schedules, streamlined maintenance and repair planning, and minimized operational disruptions.Improved employee productivity by enabling self-service analytics, resulting in a 350% increase in the number of employees utilizing the analytics platform, through the construction of a Salesforce, Snowflake, and Looker-based analytics platform that provided insights for strategic decision-making.

Delivered high-quality results and met company objectives through the effective management of resources, timelines, and budgets, while spearheading the execution of 11 multimillion-dollar projects.Increased project efficiency and fostered collaboration among stakeholders by devising and implementing 4 site-wide planning processes that streamlined project coordination and enhanced overall productivity within the refinery.Improved project readiness by 40% through the extension of project schedules to include pre-project events, which enabled accurate tracking of milestones and optimized resource allocation across multiple projects within the refinery.Drove continuous improvement and elevated project management standards within the organization by actively participating in a global network of 15 project managers, which facilitated the exchange of best practices and insights.