Leah Cole is a Software Engineer, Data Analytics SDK at Google. She possess expertise in python, leadership, programming, computer science, java and 24 more skills. She is proficient in German. Colleagues describe her as "It was an honor to have the opportunity to work alongside Leah during my internship at Google. Not only did she provide expert guidance and support on the technical aspects of my project, but she also took the time to have regular 1:1 meetings with me. She was always willing to answer any questions I had, not just about the project, but also about life as a Googler and software engineer. Her wealth of knowledge and expertise in Google Cloud and the team's tools and practices made her an invaluable asset to the team.
Her mentorship and guidance went beyond just the technical aspects of the project, Leah helped me to navigate the company culture and grow as a professional. Her ability to provide clear goals and expectations, and her willingness to make introductions and help me find events and field of interest, made a big impact on my experience.
I am truly grateful for the opportunity to have worked with Leah and I highly recommend her for any future opportunities. She is an excellent mentor and a valuable asset to any team.", "Here’s how I’d describe Leah: high energy, deep technical, well connected, fun to be around, strategic out-of-the-box thinker. I’d highly recommend Leah for roles in developer evangelism, product management, and more.", and "Leah is one of the most talented technical professionals that I have worked with. As a classically trained and educated software developer with an impressive resume of work at GE, she was able to comfortably step Into a her current role. Whether working on a super geeky technical project, or attracting large audiences to watch her demonstrate software, she wins. Leah has the technical chops, curiosity, strong work ethic, and an incredibly fun and engaging personality that make her one of the best Developer Evangelists known to mankind!"
Listed skills include Python, Leadership, Programming, Computer Science, and 25 others.