Deeksha Neekhra
Lead Product Data Analyst @Thomson Reuters
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WORK HISTORY
Lead Product Data Analyst @Thomson Reuters
Toronto, ON, CA
Partner with Product and Engineering teams to improve how product performance is measured, interpreted, and acted on.• Built a RAG-based analytics assistant that makes metric definitions, past analyses, and dashboards searchable, helping teams get faster and more consistent answers to product questions.• Led activation and onboarding measurement initiatives, aligning event tracking and defining clear KPIs to improve product adoption.• Analyzed and clustered product variance cases using Python, identifying root causes and automating resolution for high-volume issues.• Developed an AI-assisted customer ticket classification workflow to reduce manual triage and improve routing accuracy.• Translate complex product problems into structured analysis and scalable data solutions.
EDUCATION
Ivey Business School at Western University
Master of Science in Management, Business Analytics
Oriental College of Technology, Bhopal
Engineer’s Degree, Computer Science Engineering
ABOUT DEEKSHA NEEKHRA
I am a Product Data Analyst with 5+ years of experience building analytics foundations that power adoption and performance of next generation of LLM driven products.My work sits at the intersection of product analytics, experimentation, and agentic AI. I’ve led initiatives across RAG-based analytics copilots, GenAI triage assistants, activation funnels, churn modeling, and revenue-impacting experimentation. I enjoy turning ambiguous product questions into structured metrics, experiments, and scalable data systems.Recently, I have been focused on building ML-ready data layers, defining clear KPIs, and leveraging GenAI to reduce manual workflows and improve decision velocity for product teams.Technically, I work across SQL, Python, R, DBT, Snowflake, and modern BI tools but I care most about translating data into clarity.Outside of work, I’m curious about how AI reshapes search, trust, and product experiences and I enjoy building personal projects that blend analytics, fitness, and content.To know more about my work please visit my website https://sites.google.com/view/deekshaneekhra
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