As part of the Human Resource & Workforce Analytics AI/ML Team focused on designing, implementing and optimizing Predictive and Generative AI driven workflows to strategically enhance talent management and employee engagement. Specialized expertise in Code of Conduct Domain helping Employee Relations identify and decision and document employee allegations and code of conduct violations.

• Survey Comment Monitoring

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  Developed a Transformer based workflow on behalf of Employee Relations to classify potential code of conduct violation cases from incident descriptions in surveys (Anonymous Complainant)

• Case Likelihood

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  Developed a Multi-Modal Risk-Ranking Model (downstream to Comment Monitoring) to predict the likelihood of a Code of Conduct Incident raised by an employee to be further investigated and have potential action taken. This hybrid model includes incident description embeddings along with historical features of subject and complainant

• Attrition

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  Worked on building a Tableau Dashboard to monitor and predict employee attrition rates with 1 month & 3-month forecasts. (Cohort & Individual)

• AdHoc Projects

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  Designed & built algorithms to assign Basline Attendance Percentages and Delegate Cost Center Owners inspired by General Tree traversal across Manger Heirarchy.