Cspanel
Kathyleen Beveridge:
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Her career & Journey
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Wells Fargo, Nikko Securities, 1995 - 1996, investment advisor
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Stock broker
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Went back to school and switched careers
 
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First high tech job at HP
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Loved to surf there
 
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Qualcomm - Senior Manager Sales Operations and Director of Global Sales
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ThermoFischer - senior director of marketing
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Biotech
 
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Education
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MBA, University of South California
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BS Finance, Santa Clara University
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Studied abroad in Spain
 
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Quote she lives by: Maya angelou: “my mission in life is not merely to survive, but to thrive; and to do so with passion, some compassion, some humor, and style”
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Words to live by:
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SURFING DOESN’T PAY THE BILLS
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Investment banking is only one to one impact
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Grateful that she works for company which makes a big impact on people
 
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Company Mission Statements:
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HP: Create technology that makes life better for everyone, everywhere
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Qualcomm: Inventing the tech everyone loves
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Thermo Fisher Scientific: Enable our customers to make the world healthier, cleaner, and safer
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Similarities: Using tech for the good of the people, main idea is to help people, doing something that people want
 
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Every tech company that she worked in, it had a macro, global impact on the people of the world
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The product or service is life changing or generation changing
 
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Qualcomm chips were in 99% of cell phones in the world
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Everyday a billion peoples lives are impacted by Qualcomm technology!
 
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Thermo Fisher:
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> 100,000 colleagues
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7,000 R\&D scientists/engineers
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1.5 Billion invested in R\&D
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> 40B in revenue
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Note: R\&D = Research and development
 
She:
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senior director of marketing and commercial sales
 
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Voice of sales, voice of customers
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People work really closely with scrum master to commercialize the product
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No matter what you are doing, she enjoys working with all the folks. She can’t do what others do. You can take a concept and build it and make it happen
 
She has data scientist in her team
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Join massive fragment data bases outside the company to predict customer demand and where the sales will be
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They sell freezers okay (very important, remember this)
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Databases predicted where the demand will be BEFORE customers place orders
 
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Kris Porter:
Him:
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Software developer - SRE, DevOPs engineer, Infrastructure engineer
 
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There were no CS classes when he started -
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First cs class was second quarter of some year in college
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Graduated in 2008
 
Bachelors and Masters degree
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UCLA
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Failed his first CS class; stopped after failure (thats pretty bad )
 
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Words to live by:
It doesn’t matter what you like at this age, you can have a tech career later on
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Marketable skill
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Research project: internet of things
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Robot that deployed somewhere in world
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Costa rica: swings in the trees and gives biological readings (THATS SO COOL)
 
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Career:
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NBC Universal, Streaming media infrastructure
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Twitter (does he know elon musk?) you should ask
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NOT a security engineer
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Now works at Twitter (HE GOT FIRED)
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Very interesting, most of his team was laid off (thanks elon musty)
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Requirement to go work in the office in SF
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Remote workers got kicked out
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When you see companies shuffle, you have to go (don’t wait)
 
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Mysten labs??
 
Learning Highlights
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Continuous learning
 
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CCNA training
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Machine learning and Deep Learning
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Python
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Data Structures, Algorithms, Systems
 
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Rest APIs in his job at twitter
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Slowly movies to graph UL
 
Agile Methodology
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Technical perspective, different companies have their own version of agile, they use it depending on what they need
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Qualcomm, - 150 engineers, interacted with each other, planned all of the work for the quarter in a big meeting that last 2 day (good way to coordinate)
 
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Agile is important
 
Business landscape can change: Use Sprints
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Gone are the days where projects take 6 months
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What can we do in shorter time periods?
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That skillset is highly regarding
 
Machine Learning
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Learn how to use python libraries
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Use information on when to archive and delete repositories
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To cut costs
 
Questions:
Most important skill to have in the tech industry:
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Continuous learning
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Not just learning a particular programming language, but to learn everything
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Different companies have different stacks, everytime he moved companies he had to learn new programming languages
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Everyone has different ways of doing things
 
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Don’t be super concerned about things you read on the news
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In learning the skill to work with computers, that is self fulfilling
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Start ups are a risk
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Only risk is not learning (thats deep)
 
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Be adaptive
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Career path is zigzaggy
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Dated herself for 35 years
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Never thought she’d be doing what she’s doing
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Best technical people
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Listen to requirements
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Translate it in terms of how the technology can solve the requirements
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Help speak it to her
 
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Biggest Challenges faced in the tech industry:
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She spent 14 years in qualcomm (semiconductor industry)
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Acquisitions?? Buy other companies
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The big fish in the pond (acquiring companies)
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Serial killers (but not quite)
 
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Interviews are ridiculous
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Interviews are a series of timed, random tests
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Could be a problem to solve in 30-45 minutes
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Code has to compile with no errors
 
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How is your work-life balance:
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When you talk to a company, you’re in a position to negotiate
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You’re the one with the skill
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Some good companies, some bad
 
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You have to learn how to use services that are specific to certain companies
 
How does coding help in the business industry?
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Plenty of people were software developers academically, but moved into non-tech senior roles
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Coding is a way of thinking
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A way of looking at a problem and dissecting it
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Critical thinking, problem solving
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Think methodically
 
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She interviews people on their ability to be a problem solver, and their ability to walk her through what you did what you did
 
One of her questions:
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You are in a room, not electronics, just whiteboard, pen, pencil
 
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How many cars were sold in the United States last year?
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She wants to know your assumptions, how she derived her answer
 
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What are you interested in exploring or learning right now?
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He is interested in learning about block chain technology
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AWS and google cloud stuff at large companies
 
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How would coding help with investment and finance?
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Understanding algorithms, patterns, and analytics