Hi, Njeri! What were you doing before enrolling in Le Wagon?
After graduating with a chemical engineering degree, I spent a couple of years teaching Physical Science at underserved high schools before joining Michelin. I started as a process optimization engineer and moved into management two years later. Having a solid engineering and management background brought me to the next opportunity at the Home Depot, the largest home improvement retailer in the United States. There I spent five years making processes and project management more efficient using Lean and Six Sigma tools.
When my family moved to Japan in early 2020, I struggled to find similar roles, as many of them understandably required knowing Japanese. I started looking around for skills that could help me make myself more marketable, and stumbled on Python. As my fascination for it grew, I decided to find a program to enhance my Python skills and learn how to use it in a work environment. This is how I found Le Wagon Data Science bootcamp!
What did you like about the Data Science bootcamp so far?
One of the things I really like is that most of the time is spent on actually doing, versus just watching a lecture. We learn a lot by practicing and solving challenges. All my batchmates are also deeply engaged and willing to help each other.
My favorite week of the course has been data engineering, where we learned how to turn our models and data analysis into products that others can use.
For someone without a background in math, was it difficult for you to learn Data Science?
I have a strong calculus background and my work experience so far has been data-focused, so I already had a good grasp of statistical methods and statistical process control.
What are you planning to do after the bootcamp?
My dream job would be a product management role for a Machine Learning, Deep Learning or AI-focused company. I'm really enjoying the time spent on our project, and figuring out how to fit all pieces together. That also allows me to leverage on my background in people and project management.
What can you recommend for women interested in Data Science?
I've worked in male-dominated fields in the US before and made sure I don't give people any reason to doubt my ability just because I’m a woman. It might feel intimidating at first, but as you grow as a professional, over time you will gain credibility.
Good luck with your job hunting, Njeri!
Thanks! Learning how to navigate the Japanese business world is the next challenge for me. It is even trickier than math! (laughing)
👉If you would like to hire or collaborate with Njeri, feel free to contact her via Linkedin!