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Empowering the Next Generation: JAIN (Deemed-to-be University) Hosts GirlsWhoML Workshop Series

Empowering the Next Generation: JAIN (Deemed-to-be University) Hosts GirlsWhoML Workshop Series

Bengaluru, 10 February 2025 – In a significant stride toward promoting gender diversity in technology, JAIN (Deemed-to-be University) successfully hosted the GirlsWhoML Workshop Series throughout February 2025. This initiative, held on the university campus in Bengaluru, aimed to empower female students by equipping them with essential skills in Machine Learning (ML) and data science.

Organised in collaboration with GirlsWhoML—an NGO supported by Microsoft—the event attracted over 200 enthusiastic participants from various academic backgrounds. The series commenced with an inaugural session led by Ms Fiza Vahora, Project Manager of GirlsWhoML India, who inspired attendees to step beyond their comfort zones and embrace the world of ML with confidence and curiosity.

The workshops were conducted under the expert guidance of Dr Archana Sasi, Faculty Coordinator for GirlsWhoML at JAIN University. Her approachable teaching style and structured sessions created an inclusive learning space where no questions went unanswered. Complementing her sessions, Dr Deepak Sinha, Deputy Director of the School of Computer Science, delivered a practical workshop on Linear Regression, effectively connecting theory with real-world applications.

A dedicated hands-on lab session on Python programming and data preprocessing was led by Ms Noor Nabeela K, Campus Coordinator, offering students foundational experience in coding and data management.

Adding further prestige to the series was the visit of Ms Megha Mishra, President of GirlsWhoML. Despite her demanding travel schedule, she delivered a powerful session encouraging self-reflection and clarity in career planning. The workshop also welcomed Mr Kushal Sohal, former UNESCO Futures Literacy Designer, whose interactive session challenged conventional problem-solving methods and emphasised adaptability in complex scenarios.

“The GirlsWhoML initiative represents a much-needed platform for young women to not only explore Machine Learning but also build a supportive network of like-minded peers,” remarked Dr Archana Sasi. “It’s heartening to witness their enthusiasm and determination to break barriers in tech.”

The impact of these sessions has been deeply felt among attendees, many of whom expressed increased confidence and a clearer vision of their academic and professional paths. With five successful workshops already concluded, the university is pleased to announce the continuation of this initiative, with more advanced modules planned for the near future.