DR. POORNIMA TAPAS

Title: An exploratory study of factors influencing career decisions of Generation Z women in Data Science
Authors: Milind Bhore, Dr. Poornima Tapas Journal: SA Journal of Human Resource Management Publication date: 2023 Publisher: AOSIS URL: click here Abstract Orientation: Since April 2022, there has been a 30% increase in Data Science job openings globally. The majority of these positions are filled by Generation Z talent (Gen Z). According to research, businesses that promote gender diversity have higher earnings and revenues. Main findings: Technical education, job opportunities, compensation and conducive environment significantly and positively influence career decisions of Gen Z women in Data Science. Motivation for the study: There is limited research focusing on Gen Z women professionals and factors influencing their career choices in the field of Data Science in the Indian context. Practical implications: Organizations will be able to define policies to encourage hiring of Gen Z women, break stereo types that prevent women from pursuing career in Data Science and create a conducive work environment that acknowledges and rewards the performance of Gen Z women. Research approach/design and method: Structured questionnaire was distributed online. Purposive sampling technique was adopted and 216 responses from Gen Z women studying in technology institutes pan India and working in Data Science were collected. Multiple linear regression statistical technique was leveraged for data analysis. Main findings: Technical education, job opportunities, compensation and conducive environment significantly and positively influence career decisions of Gen Z women in Data Science Practical implications: Organizations will be able to define policies to encourage hiring of Gen Z women, break stereo types that prevent women from pursuing career in Data Science and create a conducive work environment that acknowledges and rewards the performance of Gen Z women. Contribution/value-add: The findings of this study will encourage more women from Gen Z to pursue careers in Data Science, boosting gender diversity and inclusivity in Data Science.

Title: An exploratory study of factors influencing career decisions of Generation Z women in Data Science

Authors: Milind Bhore, Dr. Poornima Tapas
Journal: SA Journal of Human Resource Management
Publication date: 2023
Publisher: AOSIS
URL: click here

Abstract

Orientation: Since April 2022, there has been a 30% increase in Data Science job openings globally. The majority of these positions are filled by Generation Z talent (Gen Z). According to research, businesses that promote gender diversity have higher earnings and revenues. Main findings: Technical education, job opportunities, compensation and conducive environment significantly and positively influence career decisions of Gen Z women in Data Science. Motivation for the study: There is limited research focusing on Gen Z women professionals and factors influencing their career choices in the field of Data Science in the Indian context. Practical implications: Organizations will be able to define policies to encourage hiring of Gen Z women, break stereo types that prevent women from pursuing career in Data Science and create a conducive work environment that acknowledges and rewards the performance of Gen Z women. Research approach/design and method: Structured questionnaire was distributed online. Purposive sampling technique was adopted and 216 responses from Gen Z women studying in technology institutes pan India and working in Data Science were collected. Multiple linear regression statistical technique was leveraged for data analysis. Main findings: Technical education, job opportunities, compensation and conducive environment significantly and positively influence career decisions of Gen Z women in Data Science Practical implications: Organizations will be able to define policies to encourage hiring of Gen Z women, break stereo types that prevent women from pursuing career in Data Science and create a conducive work environment that acknowledges and rewards the performance of Gen Z women. Contribution/value-add: The findings of this study will encourage more women from Gen Z to pursue careers in Data Science, boosting gender diversity and inclusivity in Data Science.

Name	Designation
Mr. Anand Singh	Administrative Officer
Ms. Jagriti Partho Goswami	Office Superintendent
Mr. Prasanna Pendke	Sr. Supervisor
Mr. Amit Marathe	Sr. Supervisor
Mr. Prakash D Karkar	Supervisor
Mr. Amit Shinde	Supervisor
Ms. Supriya Rahalkar	Supervisor
Ms. Poorva Zende	Supervisor
Mr. Ritesh Gaikwad	Supervisor
Mr. Yogesh S. Mane	Sr. Coordinator
Ms. Rucha Desai	Sr. Coordinator
Ms. Roma Kale	Sr. Coordinator
Ms. Deepti Gokhale	Sr. Coordinator
Ms. Margaret Dsouza	Sr. Coordinator
Mr. Prasad Bonde	Coordinator
Ms. Anuja Joshi	Coordinator
Mr. Pradeep Chaveria	Coordinator
Mr. Vishal Yadav	Coordinator
Mr. Rohit Rane	Assistant Coordinator
Ms. Shilpa Ravalallu	P.A.to Director
Mr. Abhishek Kudale	Office Assistant
Mr. Rajesh Bagewadi	Network Engineer
Ms. Saee H. Gokhale	Sr .Lab Instructor
Mr. Nilesh S Kadam	Lab Instructor
Mr. Sumit Bhoinkar	Accountant
Mr. Avadhoot Joshi	Accountant
Ms. Shital Balkawade	Sr. Accounts Assistant
Ms. Deepti Velhal	Deputy Accountant
Mr. Mukesh Thopate	Office Attendant
Mr. Ashok Mankar	Office Attendant
Mr. Puran Walmiki	Sr. Office Attendant
Mr. Kailash Shinde	Sr. Office Attendant
Mr. Vasant Shitole	Sr. Office Attendant
Mr. Sanjay Takle	Sr. Office Attendant
Mr. Aniket Gugale	Office Attendant
Mr. Ravindra Supe	Office Attendant
Mr. Sagar Mengade	Driver cum Office Attendant