High-speed learning curve
Behrani is no stranger to the pace at which the world of analytics can move. "In a previous role, I got pulled into the fascinating depths of analytics by being asked to invent a completely automated solution to save time that would otherwise be spent on manually collecting and analyzing reams of data."
That was his first step toward building a career in data, automation, and artificial intelligence (AI). More recently, he's learned that while most projects in the analytics world can take up to a year to fully deploy, a racing team just doesn't have that same luxury of time. "Your model needs to move as fast as the car does and be validated within the 45 minutes plus one lap of a race," he says.
In 2018, Analytics India Magazine voted Behrani one of the top-10 data scientists in India. Looking to the future, he believes that in the new world of work, people will need to combine many skills to thrive, with collaboration and effective communication among the most critical.
Working with teams across different geographies and cultures has been his most significant learning experience from his work with Envision Racing. He talks about the need for bilingual talent: people who are proficient and deeply experienced in not only technology, but also processes, industries, and functions. He also believes in professional rigor. "You need to first be a sound statistician before becoming an efficient AI or machine-learning professional," he says.