Data Driven Approach to Launching your Career
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500 Miles is the leading mobile platform for talented candidates to discover, evaluate and engage with high-growth tech employers. This talk was specially designed for Michigan students
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Data Driven Approach to Launching your Career
- 1. Talk Specially Designed for Michigan Students Sept 2015 Viral Kadakia Sam Reid by Data Driven Approach to Launching your Career
- 2. 1. Candidates from 500+ universities are using 500 Miles. Get the free app : http://ios.500miles.io : http://android.500miles.io 2. Invite your friends & colleagues to download the app. They will thank you for it 3. Employers are looking for interns and full-time graduates. Apply to roles from “NOW HIRING on 500 Miles” stack. Candidates from MIT, Ohio State, Georgia Tech & UIUC are already in interviews 4. Join the conversation on facebook by joining the “Tech Jobs & Internships” Launch your Career!
- 3. Mohak Shroff LinkedIn What do these industry leaders have in common? Marissa Mayer Yahoo! Aditya Agarwal Dropbox
- 4. Mohak Shroff LinkedIn What do these industry leaders have in common? VP of Engineering 2013 Software Engineer 2000 Engineering Lead 2008 University of Texas, Austin Class of 2000 Marissa Mayer Yahoo! Aditya Agarwal Dropbox
- 5. What do these industry leaders have in common? VP of Engineering 2012 Engineer 2005 Software Engineer 2004 Carnegie Mellon University Class of 2004 Aditya Agarwal Dropbox
- 6. VP, Search & UX 2005 CEO 2012 Software Engineer 1999 Stanford University Class of 1999 What do these industry leaders have in common? Mohak Shroff LinkedIn Marissa Mayer Yahoo! Aditya Agarwal Dropbox
- 7. What do these industry leaders have in common? Career✔Job Didn’t get a job Found a career launching employer
- 9. What does Computer Science teach us about picking the right career? (Hint: Hill Climbing Algorithm) You could start here …or here “People early in their career should learn from computer science: meander some in your walk (especially early on), randomly drop yourself into new parts of the terrain, and when you find the highest hill, don’t waste any more time on the current hill no matter how much better the next step up might appear.” - Chris Dixon (General Partner, Andreessen Horowitz)
- 10. How do you discover these career launching companies? 1. Discover
- 13. How do you tell if it is a career launching company? 2. Evaluate
- 14. Before we put machines to work, lets first ask us humanoids this question? Is it a company that is: • Solving a critical problem in a huge market with an innovative solution • Has hired a top-notch team from well known companies • ..and great universities • Team that is growing fast and one that is paid well • Hypothesis that investors believe in are willing to fund • Business with a lot of customer traction already • …… 2. Evaluate
- 17. 1. Which tech company with hired the most talent in the past year? 2. Which employer did Airbnb hire the most from? 3. Alums of which university has Spotify hired the most? 4. How much more does Square pay to its engineers as compared to others? 5. Which tech company sponsored the most H-1B visas last year? Sept 2015 http://ios.500miles.io http://android.500miles.io Trivia
- 19. How do we learn more about users? What powers the app? How do we optimize our users’ experience? How do we get all the data needed? How should this information be presented?
- 20. Logical architecture Collect user dataData ingestion User analytics Insights generation Recommendation engine
- 21. Big Data ingestion Collect user dataNews feed Proprietary data Public data / API Social network Entity extraction Entity de-duplication Relationship mappers Big DB Processing engine
- 22. IBM International Business Machines IBM Corp IBM Corporation IBM inc. … Entity De-duplication Michigan Univ of Michigan University of Michigan, Ann Arbor IBM University of Michigan
- 23. Google Facebook Microsoft Apple LinkedIn, etc Square Dropbox Sprinklr, etc Cloudera Dropbox Uber SurveyMonkey, etc Twitter Tableau Box, etc Brands - Large cap Brands - High growth Heavily funded Recent IPOs Cloudera Salesforce Box Amazon, etc Uber Lyft, etc Enterprise, Cloud Consumer 500 Miles, etc Early stage Classification 23
- 24. Company Data Machine learning challenges Example Jobs Connections User behaviors User preferences Skills Recommendations
- 25. Recommendations – Square, Dropbox (high- growth) – Facebook, Google (Brands) – … Company Data Personalized recommendations User preferences User analytics Example
- 26. So, is this still the best way to find the right employer that will launch your career?
- 27. Our members come from over 500 campuses Bootstrap
- 28. Egnyte at a glance • Pre-IPO company with $62M in funding • 200+ employees in Mountain View, CA (heart of Silicon Valley) & Poland • Looking for interns and full-time graduates • Winning over Dropbox & Box in the enterprise space • Millions of paid users and thousands of customers including IKEA, Home Depot, AppDynamics, Aerohive Networks, Red Bull and others
- 29. ThoughtSpot at a glance • ThoughtSpot’s vision to become Google for Business Knowledge • Team of top industry veterans including co-founder of Nutanix (Pre-IPO), technical leaders from Google, Amazon, Microsoft (Research) and Oracle • Scale-out architecture supports searching 10+ billion records in a matter of ms • Series B funded company ($40M) and 95+ employees in Palo Alto, CA • Looking for interns and full-time graduates
- 30. Chartcube at a glance • Chartcube’s product offers compelling data visualizations and collaboration experiences from a complex excel spreadsheet in a mobile app • Team of industry veterans from eBay, Apple, McKinsey and Sun. • Backed by investors of Nest, Lithium and Zuora • Looking for interns and full-time graduates
- 31. 500 Miles Coding Challenge Email your answers to flock@500miles.io 1. Write a function to return top-K elements in an array. Ordering is not needed. Assume large data sets. (Extra credit: What is the time complexity and space complexity of your solution?) 2. Write a function to find the minimum number of coins to make change. Input is the actual amount to make change for, and the denomination set itself. Example: function(77, {1, 5, 10, 25, 50}) = 4
- 32. Responsibilities • Evangelist & Marketing champion for the campus • Speak at university forums on this topic • Support students and answer questions • Channel feedback & suggest product improvements Requirements • CS/ECE background • Well spoken & committed (3-5 hours/week) • Leadership experience (preferred) • Interested in data mining & machine learning (preferred) Campus Lead
- 33. Perks • Early access to 500 Miles products • Access to 500 Miles dataset for university projects • First dibs at internship and full-time openings • Interact with team and ambassadors from other colleges • Referrals & recommendations for positions at other Tech employers • Recognition from the company Process • Come talk to us today or drop us an email flock@500miles.io • In a few sentences, explain how you would support students and get the word out Campus Lead
- 34. Questions?
Editor's Notes
- Welcome! Wow - we are honored to see so many of you here today. Hopefully, it wasn’t only the rumor about free food that brought all of you here ☺ Its completely understandable if that’s the case – we were right there where you are today at one point… Thanks for coming out today. We promise you that you will not be disappointed. Many thanks to Kimberly & CORE team, who were nothing short of being awesome in putting this event together!!! This is a talk about: A hot technology topic (Big Data) and Silicon Valley way of solving real-world problems But most importantly, it’s a life lesson on how to think about your career (and potentially entrepreneurship)
- Lets start with staring at 3 prominent industry leaders: Mohak is the VP of Engineering @ LinkedIn, Aditya is a VP of Engineering at Dropbox and Marissa is the CEO of Yahoo! They are some of the top influencers made solid careers. All of this in a very short span of time. What is common between them?
- There are millions of people with the essential traits of being successful. But, only few of them like Mohak, Aditya and Marissa make it to the top in optimal time. Bottom line: They didn’t get a job. They focused on getting a career.
- The lures of full time job without long term consideration can often lead to what we call “I missed the boat syndrome”
- I spent too bit more time climbing the wrong hill. Microsoft is a great company and I learnt a ton. But, it was harder to get to my long term ambition. Don’t climb the wrong hill. Teaser rhetorical question #1: So, do you want to start your career by climbing a small hill or a large one? Teaser rhetorical question #2: Do you want to wait for 7 years (like Mohak) before you do that or right out of the gate?
- I spent too bit more time climbing the wrong hill. Microsoft is a great company and I learnt a ton. But, it was harder to get to my long term ambition. Don’t climb the wrong hill.
- These large hills (often referred to as “unicorns”) born everyday. One needs to stay in the know by following tons of news feeds such as techcrunch, angellist, Venturebeat. Let us say, you managed to stay buzzed, how do you sift through such large amounts of data and signals?
- These large hills (often referred to as “unicorns”) born everyday. One needs to stay in the know by following tons of news feeds such as techcrunch, angellist, Venturebeat. Let us say, you managed to stay buzzed, how do you sift through such large amounts of data and signals?
- Let us assume that you’ve spent time assimilating this information and made your own list, what criteria do you use to tell if this is a good company? Can you throw the names of few of your favorite companies? … Let us say you picked .. Can you tell if .. YES .. YES .. Not sure .. Not sure .. Not sure
- Good evening UPenn! Before I jump into the technical part of the presentation, can I get a quick show of hands of iPhone users? Android? It is an honor to be in front of some of the brightest minds in the world. As I talk about the engineering behind this amazing product, our hope is that you will walk away with the silicon valley way of algorithms to big data.
- Use link prediction to see if there is a potentially good interaction between the company and you.