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Ritika Sisodiya
Junior Data Scientist specializing in statistical modeling and machine learning
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About
AI Researcher with production experience building a real-time computer-vision detection pipeline augmented by an LLM-based verification layer to cut false positives (~78%) and reach ~90% real-world accuracy. Also partners cross-functionally with Product/Sales/Marketing to shape AI feature prioritization and market positioning using analysis and interactive dashboards.
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Key Strengths
- Built and deployed a hybrid CV + LLM validation system for real-time detection in production
- Diagnosed model failure modes using misclassification clustering and real-time frame review (low light, motion blur, occlusions)
- Improved robustness via targeted augmentation and tuning; reduced false positives ~78%
- Implemented monitoring dashboards to build engineering trust in system performance
- Achieved ~90% real-world accuracy and production readiness for live deployment
- Structured approach to AI agent/workflow reliability: componentization, offline + scenario testing, logging/error tracing/feedback loops
- Able to translate AI capabilities into product and go-to-market strategy with Product/Sales/Marketing stakeholders
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Experience
Education
Awards
Skills
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Publications
2 publications
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