Developers to Data ScientistsAlvin Gendrano, VP of Data Science and InsightsNov 6, 2016

BS - Computer Science1991 - 1995

Favorite Subject - Databases

My First Job - Junior Programmer

MS - Computer Science

DistributedDatabases

Microsoft Career1998 - 2014

SQL ServerSQL AzureAzure Machine Learning

And Now, Talas

Talas is All Open Source

Open Data Platform Initiative

Bilang Pilipino

Graphics by TV5

Talas Data Scientists in Action

Presidential Debate Coverage

A Smarter Wayto Find Customers

Mark locations of particular

interestSend perks to your audience

to increase foot traffic

Select profiles that best

describe your customer

Know where your

customers dwell

Immediately see how your campaign

performed

DISCOVER NEW CUSTOMERS SEND THEM PERKS

MEASURE YOUR CAMPAIGN’S SUCCESS

A mobile application that uses location and mobility data and subscriber insights to empower the small business owner

PROFILING SAMPLE USE CASE

At lunch time, people within

a 500m x 500m area of Max’s Lucky China Town are

predominantly Worker Bees (approximately 24%).

Their top interests areTravel (11%), Food (9%),and Finance (7%)

Recommendation Engines/Next Best Offer

WHY?

CALL & TEXT

MOBILE INTERNET & BROWSING

APPS & CONTENT

INTERNET OF THINGS

New Formats: Kindle

What Amazon recommends

What other customers are buying

What other customers are thinking

What other customers are saying

Amazon search and recommendation engine: Leveraging Data

Recommendation Engines/Next Best Offer

HIGHEST PAID IT JOB

#1

Ideal Data Scientist Skills

Ideal Data Scientist Skills

SUPER HARD TO FIND

WHAT DO I LOOK FOR?- Python with Data Science Libraries

- Pandas- MatPlotLib- SciKit and SciPy

- Big Data Development Experience- Hadoop - Map/Reduce - SQL- SCALA SPARK

IF...

THEN...- Use Python

- SciKit, Pandas, MatPlot

- Learn Hadoop or Spark w/ Scala

- Join a Data Science Team- With Real Big Data and

Real Data Science Experience

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DatascienceMasters.org

LinkedIN

Data Science Questions?1. How much / how many? Regression

2. Which category? Classification

3. Which groups? Clustering

4. Is it weird? Anomaly Detection

5. Which option? Recommendation