Param

Senior IP Analyst

Apr 2025 - Oct 2025 • 6 mos

• Analyzed large-scale product, customer, and market datasets using Python to uncover trends in product adoption, engagement, and innovation activity, supporting R&D and product portfolio prioritization. • Presented actionable insights to cross‑functional stakeholders, strengthening data-driven decision-making across product and leadership teams. • Assisted in end‑to‑end migration of datasets to the Patsnap server using SQL, ensuring 100% data consistency and improving accuracy of downstream analytics and reporting. • Applied statistical modeling, time‑series forecasting, and similarity scoring (KNN) to predict innovation trends and guide feature development and product investment decisions. • Responsible for executing new processes to improve the efficiency of all Projects in collaboration with the Manager, Professional Services, and Director, Professional Services. • Collaborated with cross‑functional teams to clarify product requirements, surface dependencies, and mitigate delivery risks by guiding teams through structured journey mapping and dependency/risk surfacing. • Enabled continuous communication and managed client, customer, and other stakeholder feedback by synthesizing and integrating it in the product roadmap. • Validated AI/LLM‑powered patent search and classification models, designing prompts and evaluation frameworks that improved model accuracy by 15%. • Partnered with product teams to A/B tests, evaluating AI-curated workflows against manual workflows and delivering data-driven insights that increased AI accuracy by 15% and shaped the AI roadmap of the SaaS product.

IP Analyst

Apr 2022 - Mar 2025 • 2 yrs 11 mos

• Partnered with product, engineering, and analytics teams to define project goals, KPIs, and analytical frameworks for patent, product, and market intelligence initiatives. • Built and maintained scalable ETL pipelines by extracting data via APIs and Patsnap, transforming datasets using Power Query and Python, and loading curated tables in Power BI to accelerate insight delivery by 15%. • Developed and documented standardized SQL queries and data workflows to improve data reliability, reproducibility, and cross‑team adoption. • Conducted patent landscape studies, competitive intelligence studies, and non-patent literature analytics using Patsnap to identify the technology evolution and competitive activities to develop product features. • Conducted advanced statistical and multi-factor analysis using Patsnap API and Python to calculate a multi‑factor Patent/Technology Scoring model combining technical relevance, citation impact, market activity, and innovation drivers to support acquisition, licensing, and portfolio optimization decisions with data-backed scoring. • Authored detailed documentation covering requirements, assumptions, constraints, and analytical methodologies to ensure traceability. • Contributed to multi‑year evolving product roadmap planning through market analysis, competitive benchmarking, and customer feedback synthesis. • Created and maintained user stories and product enhancement proposals to gather clear requirements and acceptance criteria in Pendo and Azure DevOps. • Collaborated with leadership to resolve prioritization conflicts and optimize resource allocation to ensure delivery of key project deliverables. • Supporting the Manager, Professional Services, in reviewing process improvement suggestions, metrics, and bottlenecks for the business by interpreting complex themes and insights in a simple, intuitive way.