As part of the data science team at Cisco, I’ve had the privilege to use my skills for social impact. This project aims to shift the way the media reports on suicides using artificial intelligence. Articles written about suicides often contain harmful or visual language that can act as a contagion to those suffering with a mental illness or going through suicidal ideology.

The data science development team has partnered with The Erika Legacy Foundation and worked with mental health experts from The World Health Organization to develop a web-based tool that can identify harmful language used in articles using machine learning and natural language processing.

A Cisco-specific blog publication can be found here, where the VP of Data & Analytics at Cisco, Shanthi Iyer speaks more to this initiative.

The tool can be found here.

It has been a huge blessing to be a part of this effort and look forward to seeing the evolution of the tool.

We may not be at the point where you overhear your surgeon saying, “Hey, Google, pass the scalpel,” but artificial intelligence (AI) is gradually making its way into the healthcare industry and, by extension, dermatology and plastic surgery practices, too. Even in its limited use, AI is already helping providers offer their patients better care — whether it’s pre-op, in the OR, or during the recovery process. Here are three ways artificial intelligence is shaking up medicine.

Here are 10 tips that I have for aspired data scientists which come from my experiences of applying for data science roles and participating in the recruitment of other data scientists.

With a recent influx of e-mails from prospective data scientists, I became inspired to share my journey thus far.

Finding the right data scientist position with the right cultural fit, projects to work on, and compensation package is challenging, but very possible. It takes patience and determination.

I hope to instill confidence in those searching for their first few data science roles.