- Data Science
Phil Supinski’s Blog
Debunking Data Science Myths
Data science has become a complex field that is understood differently by different groups of people, which can lead to confusion and misunderstandings. Here are key myths to remember to help understand data science more clearly. Data Scientists are Engineers...
5 Data Science Tools to Improve Your Business
An enterprise can create products or analyze data easier with visual analytics and other data science tools. Understanding how to use these tools can help a business become more productive and efficient. Here are some key data science tools for monitoring analytics,...
Jobs in Data Science
As technology advances, the need for individuals to interpret and analyze digital data will rise. To meet this demand there are many different types of jobs in the data science field. Let’s take a look at a few of them. Statistician: This job covers the basics...
Skills Every Data Scientist Needs
Data scientists are some of the professionals whose demand is on the rise today. To be competent and deliver their work effectively, data scientists need to be well equipped with a host of skills, experiences, and knowledge on a wide range of areas. Research has shown...
Top Data Science Use Cases in Banking
Using data science in the banking industry is more than a trend, it has become a necessity to keep up with the competition. Banks have to realize that big data technologies can help them focus their resources efficiently, make smarter decisions, and improve...
12 Ways Artificial Intelligence Will Effect Healthcare in 2018
Artificial intelligence is finally at a point where it's going to be able to have an impact on certain industries. Healthcare is definitely one of those areas where AI will help both patients and providers. Here are 12 ways that AI is destined to play a role in...
The 10 Best Cities to Find a Big Data Job
When looking for jobs in technology, especially in big data, most people look to Silicon Valley. However, Silicon Valley hasn’t been able to keep up with the influx of brilliant minds who move there. Known as one of the worst cities for affordable housing, the tech...
Differences Between Data Lakes and Data Warehouses
Big Data has been trending up for several years and has gained steam in the last couple. There are many key differences between data lakes and data warehouses to understand before making an informed decision on how to manage your data. Those of us that are data and...
The Best Big Data Companies to Work For
People with computer science and data analytical skills are always looking forward to working for a company that has a significant reputation in the industry. Big companies are adored due to several factors including high salaries and other compensation benefits,...
Essential Skills Every Big Data Analyst Should Have
Data is no longer a scarcity with this being the information age. It is more overpowering than anything. The key is to sift through the overwhelming volume of data available to organizations and businesses and correctly interpret its implications. In order to be able...
Phil Supinski is a tech ambassador, data analytics student and economics expert with more than a decade of experience working in sales and marketing.
Supinski’s career trajectory was molded after he enrolling at the Colorado School of Mines, an engineering and research university in Golden, Colorado. Despite being recruited to be an early enrollee in the biological engineering program, Supinski shifted his focus when the program failed to come to fruition, finding his niche in the data-driven field of economics.
Phil’s pursuit of a career in data analysis began before “big data” was a buzzword used by every business analyst on the planet, starting during his time at Colorado School of Mines and blossoming to this day. Supinski’s intrinsic desire to harness the raw power of data and in practical means in the world around him has driven his career shift from marketing to the world of data science.
With a strong background in mathematics, data reporting, and enterprise resource planning systems, Phil Supinski recognized the story that data was able to tell, and was quickly enthralled in unraveling and adding meaning to any data put in front of him.
After earning his Bachelor of Science in Economics, Phil’s career began at Denver-based Initech, then Colorado’s largest 3com value-added reseller. After spending three years at Initech as a Sales Engineer, 3com was purchased by Hewlett-Packard and Supinski shifted his career, taking over NerdPhone.
In 2010, Phil helped to launch, brand, and provide direction for NerdPhone, a provider of cloud-based VoIP, systems as CEO and Solutions Architect. Bringing the competitive spirit he honed in during his days playing football at Colorado School of Mines, Phil helped lead NerdPhone to exponential growth during his tenure as the company expanded its reach across the United States and Canada before selling the company in 2012.
After his departure from NerdPhone, Phil Supinski sought a position that allowed him to put his varied skills to use. In late 2012, he found that opportunity with Iron-Point, where he took a position as a Consulting Engineer at the Golden-based mobile demand generation and marketing company. At Iron-Point, Phil sold accounts, worked with Google AdWords, utilized SEO tactics and acted as a consultant and marketing expert on a number of high-profile accounts.
Phil’s most recent challenge came at ePower Manufacturing, where he was tasked with orchestrating a complete rework of the sales and manufacturing teams as a director in the organization. After a successful overhauling process, Supinski declined an offer to relocate to Wisconsin and continue work with ePower, instead choosing to further his education and focus on a career in data science.
Today, Phil Supinski continues to seek out his next challenge. Recently, he enrolled at Columbia University, seeking his professional certification in Data Sciences. After expanding and growing his professional skill set, Supinski plans to dive headfirst into data analytics, combining his knowledge and proficiencies in Python and data science with his strong background in leadership, marketing, sales and engineering to good use.