It was an honor and a pleasure be interviewed by Women in Clean Technology and Sustainability (WCS) as their member of the month. WCS is a non-profit organization headquartered in California that fosters community and networking among professionals in the green economy and has members from all over the United States and the world.

We had a wide ranging discussion that covered the inspiration behind Ecoformatics, the opportunities for jobs and startups at the intersection of data science and clean technology and where we as a company can help.

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Excerpt:

GO FROM “I’VE NEVER CODED, I HATE STATISTICS AND I’M NOT SURE HOW AI AND MACHINE LEARNING WORKS” TO “I CAN NOW BUILD USEFUL MACHINE LEARNING MODELS.”

February 2021 Member of the Month: Gayathri Gopalakrishnan

HOW DO YOUR COURSES HELP PREPARE PEOPLE FOR THIS NEW FIELD AT THE INTERSECTION OF DATA SCIENCE AND CLEAN TECHNOLOGY?

The biggest challenge with existing online courses and platforms is that they focus on data science in the high-tech sector! Building a recommendation engine for a website is very different from using drones to monitor power lines and predicting energy usage by consumers. Data in clean technology is sparse and at different scales. Natural systems and outcomes are rarely in our control. So people who try and solve problems in clean tech without understanding the sector and the challenges with the data in the sector run into issues.

Our courses are focused only on the clean technology sector; we teach professionals the ins and outs of applying data science and machine learning in clean technology. Each course has real-world, hands-on problems such as detecting wildfires from space – where students are guided through the process of building actual solutions and work through the concepts using real data – messy, unwieldy, non-standard data.

The goal is to help professionals in clean technology go from “I’ve never coded, I hate statistics and I’m not sure how useful machine learning and AI are to my problems” to “I can now build useful machine learning models, I understand when and how to apply data science, and I can successfully build and manage a team that can use these new technologies in my company and sector”.

Read the whole interview here