John Baldwin
Los Altos, CA, USA
Business Intelligence
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His\Her Talents

Years of experience: 0-5 years
Abilities: At ease with people, Methodic, Analysis and critical spirit, Intuitive, Structured
{{ 'English'|langNameByCode}} - Native or bilingual proficiency
{{ 'Portuguese'|langNameByCode}} - Full professional proficiency
Experienced in data analysis, data science, machine learning, data visualization, data modeling, predictive analytics, SQL, Python, Excel, R, Hadoop, Hive.



  • Date attended: from: 2008 to: 2013
    School: UC San Diego
    Degree: Bachelor's Degree
    Field of study: Economics


  • Name company: Smartify
    Title: Data Analyst
    Location: Pasadena, CA, USA
    Experience abroad: No
    Time period: from: 11.2013 to: 11.2014
    Description: Smartify is a digital marketing platform that helps brands and retailers drive direct connections to their audience via their social data streams. • Developed reports identifying opportunities to expand Smartify’s products using analysis and data visualization in Python and Excel. Presented reports to chief executives with Powerpoint, resulting in integral product and marketing strategy changes • Delivered insights for marketing blog posts and monthly white papers using Python, SQL, R and Excel to drive marketing and sales efforts • Utilized data mining techniques to deliver weekly analytics reports to clients concerning the interests and demography of their Facebook followers • Evaluated and tested the efficacy of promotion metrics using statistical analysis • Developed and implemented analytical tools in Python to compare the ranking of Facebook interests between users
  • Name company: Tubemogul
    Title: Business Analyst
    Location: Emeryville, CA, USA
    Experience abroad: No
    Time period: from: 03.2015 to: 04.2016
    Description: TubeMogul is the leading independent software platform that enables brands and agencies to plan, buy, measure and optimize their global advertising. • Worked extensively with SQL, Python and Excel, and leveraged massive data sets with Hive and Hadoop • Prototyped and developed a systemic weekly analytics process to reduce fraud levels in the platform utilizing SQL, Hive, Python and the Tubemogul data engineering infrastructure • Conducted forensic data analysis to identify and mitigate ad hoc fraud issues in the Tubemogul platform • Automated and improved business processes with data reporting and data visualization to create efficiencies for Client Services • Partnered with Product and Engineering to build models into the engineering backend resulting in integral fraud protection software used on a daily basis

His\Her Wishes

Industry sector : Energy, Education, Training, Health, Social, Professional Services
Specific activity : NGO
Location: United States / Brazil
Market type : B2B International
Progress of project:
1 Definition of Concept
2 Prototype
3 Test
4 First customers
5 First revenues
6 Development
7 International Development
8 Cession / Buyout
Need of income: Not specified
Interested in break-through innovation : Yes
Degree of implication : 0-30% Available
Funding capacity : Under 20 K
Return on investment planned : Not specified
Wish to be involved for a period of : Less than 5 years
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