Shea V. Email & Phone Number

Paris, Île-de-France, France

New York, NY, US

• Progressed swiftly from a Machine Learning Engineer at Pymetrics to Data Science Manager, and subsequently to Director of Data Science, demonstrating strong leadership and advanced technical skills which continued to.
• Led a pivotal initiative as Director to automate data science processes, achieving a 20-fold increase in model development speed, thereby significantly boosting productivity and fostering innovation within the.
• Revitalized a struggling reporting team, enhancing its capacity to handle increased demand, reducing service level agreement times from 3 days to 30 minutes, and cutting database costs by 80%, directly benefiting.
• Developed a Variational Auto Encoder to classify jobs by industry, reducing the data requirements for clients and increasing model precision, which enabled the provision of customized, industry-specific insights.
• Ensured compliance of company models with key regulatory standards including NY AI Law, EU AI Law, GDPR, EEOC, and OFCCP, safeguarding adherence to legal requirements.
• Successfully led the consolidation of data science teams after the company's acquisition, implementing strategies to replicate and scale operational efficiencies, which enhanced integration and performance consistency.

New York, US

• Established and led a diverse team of 8 data professionals, including analysts, engineers, and scientists, developing their capabilities to provide key organizational data insights and support data-driven.
• Enhanced analyst productivity by 80% through strategic technological upgrades and policy reforms, significantly improving workflow and reducing operational bottlenecks.
• Pioneered the development of automation tools and ETL processes that boosted the productivity of data analysts and scientists, enabling more efficient data handling and analysis.
• Designed and implemented machine learning algorithms to automate the validation of document accuracy, significantly reducing reliance on manual checks and increasing process speed.
• Acted as a machine learning consultant to engineering teams, focusing on OCR and NLP applications in financial data, thereby enhancing data extraction and interpretation accuracy.
• Overhauled data operations by optimizing common queries and automating 80% of reports, decreasing manual effort by 80% and quintupling analyst productivity.

New York, NY, US

• Directed a diverse team of 16 technology experts, including software engineers, data engineers, and data scientists; revamped testing, release, and hiring protocols to enhance productivity and reduce operational errors.
• Elevated the Data Science team from a non-productive status to a high-impact group delivering critical projects like the user metrics initiative, which enabled the company to align products and services with market.
• Architected and implemented a comprehensive streaming data infrastructure, data lake, and data warehouse, laying a robust foundation for scalable, future data-driven projects and analytics.
• Spearheaded the design of GDPR-compliant data infrastructure, ensuring adherence to regulatory requirements and enhancing data security and privacy protocols.
• Actively coached and mentored team members facing challenges, fostering a culture of continuous improvement and resilience within the data science and engineering teams.

New York, NY, US

• Elevated from Engineer to Data Science Manager, successfully built and expanded the data science team from 1 to 8 members, spearheading the development of Artificial Intelligence, Natural Language Processing, and.
• Led the design and execution of the state-of-the-art Text Complexity project, utilizing an ensemble of Machine Learning models, including NLP and Artificial Neural Networks, to enhance the accuracy of text complexity.
• Developed comprehensive Sales and Marketing dashboards, equipping sales, customer success, and marketing teams with essential pre-engagement insights about clients and prospects, thereby improving engagement strategies.
• Created and implemented a sophisticated multi-experiment A/B testing system using Bayesian methodologies to streamline testing processes, reduce result ambiguity, and align closely with overarching business goals.
• Established critical KPIs for the Marketing department focusing on time, leads, and conversions, which significantly helped in transforming the company into a more data-driven entity capable of making well-informed.
• Engineered a machine learning ensemble model using NLP and artificial neural networks to accurately assess text complexity, reducing analytics delivery time by 80%.

New York, NY, US

• Spearheaded the design and implementation of a scalable, RESTful hypermedia system, enhancing system efficiency.
• Delivered lectures on hypermedia, SOA and functional programming to full engineering team, guiding adoption.
• Overhauled testing strategy reducing silent failures and development time. Mentored team on advanced techniques as lead engineer.
• Built machine learning prototype predicting clinical trial dropout using behavioral data. Won company award for medical relevance.
• Promoted to Lead Engineer due to technical leadership, contributions to architecture direction, and engineering process improvements.

• Overhauled testing strategies and modernized legacy codebases, improving system uptime to 99.999%; led the development of a global ticketing API, boosting throughput by 20,000-fold.
• Scaled automated ticketing from 100s to 1000s of daily tickets. Cut resolution time by 10x and doubled success rate.
• Overhauled testing strategy, eliminating false positives and reducing test writing time by 60%.
• Migrated legacy codebase, improving maintainability.
• Led design and development of global automation platform. Set new standards in testing and flexible architecture.

Founded and directed a startup an alternative clothing retailer with a focus on inclusivity and diversity, managing all aspects of business operations.

Provided consulting services in data analytics and system engineering, including inventory tracking and web tool configuration.

Redesigned a heavy legacy editorial system into a streamlined editorial platform.

Engineered a color analytics and system leveraging color theory and advanced analytics. Leveraged NLP to create a search engine for dynamic content distribution of news articles.Integrated partner APIs across a media network.

Created a web-based accounting and social networking platform tailored for real estate professionals.

Managed staff and office projects, including the design and implementation of web pages.

Seattle, WA, US

Analyzed data using SPSS and Excel, developed Python scripts for task automation, and extracted data insights.