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GADFLY AI


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BUILDING A BETTER FUTURE THROUGH CODE.

GADFLY AI


︎︎︎ Digital Transformation

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︎︎︎ Product Development

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︎︎︎ Get To Know Us

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︎︎︎ Get In Touch

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Welcome to GADFLY.AI. We weave the real-life narratives of a modern developer's experiences building code for community impact. Teaching creatives and engineers how to explore the world around them through data.




 ︎︎︎scroll to view machine learning stories︎︎︎

/WOMEN IN THE WORKPLACE/BEAUTY TECHNOLOGY/PSYCHOLOGICAL EFFECTS OF SOCIAL MEDIA/TREND ANAYLSIS/ALGORITHMIC FUNDING







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GADFLY.AI_TEAM


Sara Kimmich - Founder, Technical Community Lead
Anova Hou - Creative Director
Kseniia Borovkova -  Digital Community Outreach
Anjali Ramesh - Machine Learning Advocate

Emily Yang - Machine Learning Advocate

Uyen Nguyen - Machine Learning Advocate
Yan Lawrence - Machine Learning
Advocate




Anjeli Ramesh


Project_Research On Women

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This project is aiming to explore and analyze the experiences of women in the workforce, whether that be during interviews, in the workplace, participation, wage gaps, leave policies, or other factors.”



  1. My favorite failure this week was having very little time to spend combing through the datasets that I had chosen, and instead spending that time taking many many midterms. Although on the bright side, looking at datasets was a nice break in stressing over all the papers waiting to be written.
  2. My favorite false start this week was eliminating the datasets I had previously chosen for different reasons, which led to me either getting rid of them completely, or saving them for later projects that I’m also excited about.
  3. My secret superpower this week was narrowing the scope of my project and getting a clearer idea of what purpose this data science project will serve. This has helped me visualize what I have to do from this point in general terms, which is really reassuring going forward. Having a chosen dataset and a more specific objective makes me feel like a lot of progress has been made from when I first started, and this is comforting, especially with the craziness of this week.
  4.  This was my favorite data visualization this week, because I think it’s a really interesting and unique way to show change. It represents the shift in margin (either more Democratic or more Republican) from the 2016 general election to the 2020 general election in counties across the country. This visualization provides information about a very large number of locations and does it in a way that’s easy to understand and quite simple. I like this concept of representing change, and it relates pretty directly to something I want to show, which is the change in female participation in the workforce in each state from 2011 to 2018.