Experience

Principal Data Scientist

• Implement vector embedding techniques to perform semantic similarity analysis, achieving a 90% precision and 95% recall in duplicate identification

• Conduct extensive research on LLM quality evaluation, analyzing key metrics, frameworks, and methodologies to assess performance, consistency, and reliability

• Develop product feature leveraging a LLM to convert unstructured data into structured formats, providing scalable, analysis-ready data and enhancing user insights

• Validate ‘LLM-as-a-judge’ approaches, leading to adoption of best practices and improving scalability of quality assurance for language model deployment

• Evaluate anomaly detection algorithms and developed application using the Isolation Forest algorithm to identify outliers across one million data points, enhancing data quality and enabling proactive issue resolution

• Utilize Python and advanced SQL to co-develop Time Loss Analytics applied analytics feature for PTC’s Digital Performance Management (DPM) product to reduce a months long process to near-instant insights

• Develop proof-of-concepts and custom analytics solutions to guide technical and business stakeholders through their AI journey, from use case discovery and development to successful implementation

• Implement proactive anomaly detection through applied statistical process controls (SPC), enhancing operational efficiency for manufacturing and medical device clients

• Team leader and data analyst for client relationship generating over $1M in annual revenue

• Drove end-to-end planning, coordination, and execution for successful client data platform insourcing effort

• Conduct client validation studies to ensure the accuracy and actionable value of insights from custom algorithms, driving enhancements that elevated client satisfaction

• Spearhead successful initiative to modernize client data platform, resulting in increased stability and reducing daily ELT process from two hours to under five minutes

• Participate in leadership development program and later became team lead for future cohorts

• Conduct user interviews at UX labs during customer conferences to gather feedback for product development

• Created 20+ hours of training videos for PTC ThingWorx Analytics clients on topics such as data profiling, feature engineering, and phases of the analytics continuum

Data Analyst Consultant

• Performed data mapping, analysis of source and target data, and reported on data quality

• Identified data structure issues to ensure import of client’s legacy data into new learning management system

• Enhanced ETL process to extract data in multiple formats for a Fortune 500 auto parts company

• Created advanced stored procedures to identify and rank staff performance for a major auto manufacturer employee incentive program

• Contributed to corporate blog to publicize corporate identity and values

Web Developer

• Participated in beta to customize banking platform and presented results at Open Solutions client conference

• Participated in beta to customize banking platform and presented results at Open Solutions client conference

• Performed data mapping, design, and validation of enterprise SQL Server databases to consolidate disparate architectures as part of end-to-end ETL data conversion of primary banking system

• Created newsletter to market department, while championing improved coding standards and practices

• Created requirements and test plans for finance department, resulting in successful regulatory audits

• Developed 100+ stored procedures and reports to identify errors in regulatory filings