top of page

Womxn in Data Science and Dataquest Celebrate #100DaysofCode Challenge Winners!

Three inspiring women take home top honours after an incredible 100 days of learning and growth!

We're thrilled to announce the winners of our #100DaysofCode Challenge with Dataquest! This year's challenge aimed to empower women and girls by building their data and AI literacy. Over the past 100 days, we've witnessed incredible dedication, innovative projects, and a supportive learning community.

A huge congratulations to our top three winners:

Tyra Kaufmann

Tyra Kaufmann is excited to start her career in data science and plans to specialize in machine learning. She holds a bachelor's degree in mathematics from Concordia University and has professional experience as a data analyst. She also has a creative side, and enjoys writing and painting as well as a good jigsaw puzzle.

Nelly Kamau

Nelly Kamau, a BSc. Mathematics graduate and current Data Analysis student at Dataquest, has always been drawn to the tech industry. Though she first encountered data science in high school, it wasn't until her third year of university that Nelly truly discovered her passion for the field. After diving into data science, Nelly knew she had found her calling.

Since then, Nelly has been actively engaged in the field, conducting research, honing her skills through projects, and collaborating with others who share her passion. Her journey has brought her immense satisfaction.

Nelly is grateful to Dataquest and Womxn in Data Science for the opportunities to develop and refine her skills. She eagerly anticipates what the future holds in the exciting world of data science.

Neha Jasani

A coding enthusiast and lifelong learner, she recently completed the 100 days of code challenge offered by Womxn in Data Science and Dataquest Community. Her dedication was recognized through multiple badges, including the prestigious Super Project Sharer badge. She also proudly participated in and won both the 1st and 2nd iterations of the Super Project Sharer and Super Reviewer competitions, earning the Super Project Sharer badge on both occasions.

Fueled by her journey into data science and analysis, she aspires to leverage data-driven insights for impactful decision-making. With a keen eye for detail and a passion for uncovering patterns, she thrives on tackling complex problems and extracting meaningful conclusions from data.

Beyond individual accomplishments, she is deeply committed to fostering collaboration and knowledge-sharing within the tech community, believing that collective efforts lead to greater innovation and progress. She invites you to connect and build something amazing together!

These winners exemplify the remarkable talent and dedication within our #100DaysofCode community. We're proud to support their journeys and excited to see what they accomplish next.

A Look Back at a Successful Challenge

This year's challenge offered a unique learning experience with:

  • Personalized learning paths:  Dataquest's platform catered to individual needs, ensuring participants built proficiency in in-demand data skills.

  • Real-world project exploration: Participants delved into real-world datasets, gaining practical experience and building valuable portfolios.

  • Supportive community: A dedicated group encouraged knowledge sharing and fostered a collaborative learning environment.

A Special Thank You to Our Sponsors

We extend our sincere gratitude to our annual sponsors, Tech@RBC, Lighthouse Labs, CIFAR, Vector Institute, ODAIA, Mistplay, Snowflake and Northeastern University, who made this challenge possible. Their commitment to fostering diversity and inclusion within the data science field is commendable.

Looking Forward

The #100DaysofCode Challenge has ignited countless women and girls' passion for data science. We're excited to continue empowering future generations of data leaders and bridge the gender gap in this ever-evolving field. Stay tuned for updates on our upcoming initiatives!


Toronto Womxn in Data Science logo
bottom of page