Hannah Shirley
Summary
Demonstrates strong analytical, communication, and teamwork skills, with proven ability to quickly adapt to new environments. Eager to contribute to team success and further develop professional skills. Brings positive attitude and commitment to continuous learning and growth.
Overview
7
7
years of professional experience
1
1
Certification
Work History
Associate STEM Content Analyst
Clarivate
11.2019 - Current
- Patent & Scientific Literature Indexing:
Indexed and structured highly technical patents for EPO's SADIQ (glass materials) databases.
Ensured 100% data accuracy in composition-based patents, enhancing searchability and categorization.
- Material Science & Engineering Expertise:
Analyzed patent documents related to metal alloys, layered metal products, powder metallurgy, glass, and ceramics, ensuring detailed deep-indexing.
Applied advanced taxonomy and classification standards to improve patent retrieval efficiency.
- Multilingual Data Processing & Indexing:
Indexed patent documents in English, French, and German, with additional support for Dutch, Japanese, Korean, and Chinese.
Maintained uniform quality standards across languages, ensuring EPO compliance.
- Quality Control & Compliance:
Collaborated with EPO patent examiners and legal teams to validate indexing accuracy.
Conducted peer reviews and quality assurance checks, ensuring patent metadata met EPO standards.
- Process Optimization & Collaboration:
Worked closely with AI-driven automation teams to enhance deep-indexing workflows.
Provided insights to data science and IP teams on improving database structuring and retrieval efficiency.
- Manual Curation and Review:
Meticulously examined CHEM, POLY, METMAT, CHEMENG, D-ONLY, INDPOLY patent documents of countries such as China, Great Britain, Germany, Japan, India, United States of America, and Korea, to extract essential information, and ensured that each abstract accurately reflects the core innovations and technical details of the invention.
- Integration of Advanced AI Technologies:
Employed large language models and image recognition technologies to streamline the abstraction process, and these AI tools assisted in processing high volumes of patent applications, particularly in rapidly growing sectors like Chinese utility models and applications.
- Image Recognition for Drawing Selection:
Utilized AI-driven image recognition to select the most relevant drawings associated with patent applications, aiding in the accurate representation of inventions.
- Text Extraction Solutions:
Implemented advanced text extraction methods to derive part lists and other critical textual information from patent drawings and ensured that all pertinent details are captured in the abstracts.
Media Analyst - Team Lead
Ninestars Global
10.2017 - 11.2019
- Keyword Relativity & Context Understanding:
Analyzed and assigned keyword relativity across diverse content sources to enhance Signal AI's media monitoring accuracy.
Ensured 99% entity training accuracy, improving contextual relevance in media insights.
- Training & Development:
Designed and delivered training programs for 20+ team members, focusing on AI-based entity recognition and contextual tagging.
Conducted monthly assessments, improving team proficiency and maintaining training effectiveness at 95%+.
- Operational Excellence & Performance Tracking:
Managed the daily creation and allocation of entities, optimizing workflow and reducing processing time by 30%.
Maintained 100% adherence to project deadlines, ensuring seamless execution of operational tasks.
- Process Optimization & Team Management:
Led a 20-member team, providing mentorship and career development, increasing productivity by 20% over 6 months.
Implemented process improvements that enhanced operational efficiency, reducing keyword misclassification by 35%.
- Stakeholder Collaboration & Reporting:
Collaborated cross-functionally with content analysts, engineers, and leadership teams to refine AI-driven entity tagging models.
Developed weekly performance reports tracking training effectiveness, accuracy rates, and keyword relevance improvements.
Education
M.Phil. - Chemistry
Madras Christian College
Chennai, India08-2016
Skills
- Content strategy
- Proofreading
- Keyword research
- Task prioritization
- Adaptability
- Teamwork and collaboration
- Attention to detail
- Multitasking
- Interpersonal communication
- Teamwork
- Excellent communication
- Relationship building
Accomplishments
- Received the " Star Performer " Award for 4 Consecutive times at Ninestars Global.
- Earned the “ Quality & Productivity ” Award for the year 2017-2018 at Ninestars Global.
- Secured " Growth Driver " Award for the year 2018 at Ninestars Global.
- Received the " Star of the Month " Award for 8 Consecutive times at Clarivate.
- Received the " Rookie " at Clarivate.
Certification
Passed " General Course on Intellectual Property " with 91%.
Cross-functional
PATENT VALIDATION TEAM:
Assigned Patent Assignee Codes (PACO) to patentees within the Derwent World Patents Index (DWPI) to streamline patent searches and enhance data organization, where each patent in DWPI is associated with a unique four-letter code that identifies the patentee, facilitating efficient retrieval and analysis of patent information.
Encompassed both parent companies and their known subsidiaries.
Regularly updated to include new companies meeting the patent threshold.
Timeline
Associate STEM Content Analyst
Clarivate
11.2019 - Current
Media Analyst - Team Lead
Ninestars Global
10.2017 - 11.2019
M.Phil. - Chemistry
Madras Christian College
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