The Data
Revolution

Building the Workforce of the Future

"There cannot be equity in society without equity in data collection, curation, and decisions."

Women in Big Data Founders
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Shakti

Offered by the WiBD India Chapter

General Description: The goal of the program is to support women who aspire to come back after taking a career break to manage other priorities. This program pairs a mentee with a mentor focusing on assisting women looking to restart a data related career.

Logistics: This is a 4 - 6 month virtual program. Mentors and mentees are expected to meet weekly.

  • Mentor: 1 hour weekly for first 3 months, then a minimum of 2 hours per month over the subsequent months
  • Mentee: 16-24 hours per week including self paced learning and interaction with mentor

Language and Time Zone: This program will be conducted in English, and participants should be available to meet during India Standard Time (IST).

Program Offering: Three cohorts will be formed for this mentoring program - convening in late March 2022, July 2022 and November 2022.

Mentee Eligibility: This program is open to members of the WiBD India Chapter who have 3+ years of technology related employment experience and a break of a minimum of 1 year. They shouldn’t be employed when they join the program. This program is appropriate for anyone looking to restart their career within computational or data technology fields. Each cohort would have a minimum of 1 mentee but not more than 6.

Mentor Eligibility: This program is open to members from any WiBD chapter.
Successful mentor candidates will have 12+ years experience and demonstrate strong technology skills along with good communication and interpersonal skills. There is a limit of 6 mentors per cohort.

Contact mentoring@womeninbigdata.org for more information.

Interested in joining this program - Click on these links to register as either a MENTEE or MENTOR.

Not yet a WiBD Member but interested in this mentoring program? Successful registration in this program will enroll you in Women in Big Data. Membership is free.