Produced a machine learning churn prediction model (Python, scikit-learn) that identified 8% of client’s workforce at risk, enabling HR to implement targeted retention strategies and reduce attrition.
Launched an automated Lead Scoring system utilizing multi-dimensional KPIs to standardize performance ranking; reduced manual evaluation effort by 32% while optimizing the selection funnel for high-potential talent.
Enhanced demand forecasting models to predict inventory bottlenecks and supply chain inefficiencies.
Designed and implemented a Retrieval Augmented Generation (RAG) system to query internal documentation, combining vector search with LLM-based answer generation. Saving approx. 2hrs of weekly information search for users.
Collaborated with cross-functional teams to define KPIs and ensure measurability of efficiency gains.
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