The document discusses Alvin Gendrano's career path from developer to data scientist, including his education in computer science and work experience at Microsoft where he worked on SQL Server and Azure Machine Learning. It then outlines his current role at Talas developing an open data platform and mobile applications that use location and mobility data to help small businesses find and target potential customers.

1. Developers to
Data Scientists
Alvin Gendrano, VP of Data Science and Insights
Nov 6, 2016

3. BS - Computer Science
1991 - 1995
Favorite Subject -
Databases

4. My First Job -
Junior Programmer

5. MS - Computer Science
Distributed
Databases

6. Microsoft Career
1998 - 2014
SQL Server
SQL Azure
Azure Machine
Learning

7. And Now, Talas

8. Talas is All Open Source

9. Open Data Platform Initiative

10. Bilang Pilipino
Graphics by TV5
Talas Data Scientists in Action

12. Presidential Debate Coverage

13. A Smarter Way
to Find Customers

14. Mark locations
of particular
interest
Send 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

15. 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 are
Travel (11%),
Food (9%),
and Finance (7%)

16. Recommendation Engines/Next Best Offer

17. WHY?

18. CALL & TEXT
MOBILE INTERNET &
BROWSING
APPS &
CONTENT
INTERNET OF
THINGS

22. 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

23. Recommendation Engines/Next Best Offer

25. HIGHEST PAID IT JOB
#1

28. Ideal Data Scientist Skills

29. Ideal Data Scientist Skills
SUPER HARD TO FIND

32. 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

33. IF...

34. 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
1
2
3

35. DatascienceMasters.org

36. LinkedIN

38. 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