Workshop on Machine Learning in HR Analytics with Orange Data Mining and JASP

This workshop is designed to provide participants with practical skills in HR analytics, utilizing the capabilities of Orange Data Mining and JASP software. It is structured to be highly interactive and hands-on, enabling attendees to work directly with HR datasets and apply machine learning techniques to real-world problems. Here’s what participants can expect:

• Practical Exposure: Attendees will learn to import, preprocess, and analyze HR datasets, using text mining for feedback analysis and visual analytics for deeper insights.
• Machine Learning Focus: The workshop will cover the building of machine learning models to predict employee behaviour, providing a practical understanding of how to apply these models within the HR context.
• No Prior Expertise Required: Designed for doctoral students, researchers, and executives interested in HR analytics, this workshop does not require previous knowledge of data science languages like R or Python, making it accessible to a wide audience.
• Industry Relevance: Executives and researchers looking to engage in consultancy or research in data analytics across various industries will find this workshop particularly beneficial. It will explore different use cases across industries, offering a broad perspective on HR analytics applications.

Workshop Schedule:

Date: 28th March 2024

• Session 1:
  • Topics: Introduction to Orange, Data Import and Preprocessing, Text Mining in HR, Visual Analytics, Machine Learning Model Building and Evaluation
  • Activities: Hands-on experience in importing and preprocessing HR datasets, followed by an introduction to text mining and visual analytics techniques.
• Session 2:
  • Topics: Introduction to Machine Learning Techniques, Understanding HR Classification Problems, Exploration of Machine Learning Algorithms
  • Activities: Hands-On application with JASP Software, case studies, and discussion of best practices in HR analytics.

Facilitators

Dr. Kartikeya P.Bolar (Associate Professor,TAPMI)

Dr. Kartikeya P. Bolar, an Associate Professor at TAPMI, brings a wealth of twenty years of academic and research experience. A former Visiting Research Scholar at the University of Toledo, Ohio, Dr Bolar has a publication portfolio that spans prestigious ABDC-listed journals. He has led workshops on Structural Equation Modeling, Research Methods, and Business Analytics and has presented at international and national conferences, showcasing his expertise in areas like e-commerce diffusion and data mining. His adeptness in business analytics and technology adoption, combined with his research in machine learning, particularly positions him as an expert resource for workshops on machine learning applications in HR Analytics. Dr. Bolar’s ability to translate complex data-driven insights into strategic HR solutions makes him an invaluable contributor to any discourse at the intersection of these emerging fields.

Dr. Vinit Ghosh (AssistantProfessor, TAPMI)

Dr. Vinit Ghosh has completed his PhD in OB/HR from the Indian Institute of Technology (IIT), Guwahati. Vinit has worked for over 8 years in various multinational firms, such as TCS, Cognizant Technology Solutions (CTS), and HCL Technologies as a business process management consultant. His research has been published in The International Journal of Human Resource Management, Human Resource Development International, Journal of Environmental Management, to name a few. He has been teaching people analytics for the past 4 years and has successfully taken courses at Goa Institute of Management, IIM Bodhgaya and IIM Jammu. He has also designed and delivered executive trainings on HR/people analytics.