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darthkhan21/README.md

Hi there 👋

I try to update this during vac ... current/past work involves

  • NLP & Text Analytics: For employees' feedback on continuous basis and text stored across various platforms (e.g. Glassdoor) and internal business systems
  • Scenario simulations & forecasting: Market trends and operational data for workforce planning
  • Predictive workflows: employee attrition and proactive engagement
  • Analytics & Reporting : Conusming data at scale from numerous sources and telling business stories on various topics
  • Embedded Analytics: In common workflows to maximize adoption and nudge for actions
  • Cloud arch. for machine learning/data consumption: On Azure (Postgres, Storage Containers, LogicApps, CognitiveServices, VMs, AppServices, DataBrick, Dataiku, API endpoints)

Data Privacy & Ethical AI in HR Domain

  • Creating standards, processes and guidelines in collaboration with legal and compliance function.
  • Ensure all projects have legitimate business use case, protect employees' data privacy
  • Comply with global regulations (e.g. GDPR, Unions)

Impact of work-schedule/pattern on sustainability (Carbon footprint)

  • Simulating carbon impact of various work models/patterns (e.g. remote, partial) taken into account actual office employees data and leveraging google apis + stats

Project Charlie - Predicting Employees' Attrition

  • Most attrition prediction projects are not that useful as by the time the model ranks an employee ... it's too late, Charlie is designed to forecast with 6-12 months window for pro-active engagement (Ensemble model taking internal and external drivers)

Talent Nexus - myTeam monthly insights to improve retention and performance

  • Embedding insights to managers in emails and microsoft teams to drive engagement with their employees

Project Orion - Simulating/Forcasting Workforce

  • Taking business strategy input and various parameters that impact workforce demand (e.g. attrition, productivity, automation) and supply (diversity, skill, mobility) to deliver a probabilistic output with constrains

Price Elasticity & Customers Segmentation

  • For multi business lines service business involving 100s of customers (B2b)

Social media platforms for Talent Market Intelligence

  • LinkedIn, Glassdoor and others

Project Providence

  • Ingesting data from numerous business systems and applications into central pond for productization

Performance reviews NLP & Text Analytics

  • Insights and benchmarks for managers for self-reflections and improvements

Forecasting and optimizing assets deployment across North America

  • Considering inventory levels, cost and service level agreement with customers

Continuous digital listening with pulse surveys and NLP/Stats/Analytics

  • Key business topics to inform strategic decisions

Gender-pay gap benchmarking and analytics

  • For 100+ countries, establishing a methodology for fair benchmarking

Providing fair opportunity for candidates using Machine Learning

  • 1 to Many probabilistic marchin for applicants to job available within the company to increase their chance of getting a job

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    Collection of past projects

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