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Professional Selection & Career Planning Questionnaire SeniorDirector,BusinessIntelligence

Lennar Homes

Name: Adrian Guzman Gonzalez Date: 5/06/2017

Current Title: Sr. Cloud Security Architect & Sr. Business Intelligence Officer Email: adrianguzmangonzalez@o

utlook.com

Company:

D+H Financial Technology (Mortgagebot) Home phone:

Currently in Mexico: please leave a number to call

Home Address: 219 W Coventry Court 201 Glendale, WI. 53217 Cell phone: 414 554 7205

LinkedIn: http://www.linkedin.com/in/adrianguzman Skype: adrian.guzman (Italy)

Thank you for your interest in our client’s executive opportunity. You have been selected to advance to the next level in our selection process. To assist us in better representing and counseling you, please rate your skills and confidence in each of these areas (5 = highest), and then explain your self-rating in the response column, which is the more important column. Your comments arm us to build your candidacy for our search project, and better prepare you for executive interview situations.

Explain and give bulleted examples influencing your self-rating in the response column.

QUALIFICATION Experience in:

RATING (1-5)

RESPONSE (Please include how many years, location and individual or company size of assets etc? Depth and breadth and MAJOR Accomplishments in that area.)

Strong Management of Overall BI Team including onsite and remote teams

5 (Are you a subject matter expert with several years as a BI or comparable position?)

Yes, I’ve worked since 2009 with Tableau Software, first with their UX team with Jock McKinlay and after that, with a 4 million public opinion poll record of presidential elections of 2012.

Have you personally built, managed and validated a BI program focused on predictive analytics in the high involvement consumer-oriented products In additional to

Please put in detail your experience 1. Yes I’ve worked with: Data Science Foundations, Data

Governance, Data Engineering & Data Analytics from broad perspectives: Analytical Analysis for Fraud Detection (Benford and Zipf Law) Social Media Analytics (Sentiment Analysis) Disease Control (Epidemics) Dating

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strategic team leadership, have you personally managed the day-to-day functions of a BI team?

Services (Economics of On-Line Dating) Simulations, Climate Research (Collective Intelligence) Network Security (SIEM) Data Mining (Log Analysis) & Machine Learning (Collaborative Filtering, Recommendations, Product Matching, e-Discovery, Clustering, Ranking & Optimization). Examples: Fraud Detection

Sentiment Analysis & Geo reference: https://sway.com/wt9Nhflv1SqmV0Do Climate Research: https://www.academia.edu/18644932/MIT-ClimateColab_and_IBQ_Collaborative_Agreement

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2. Predictive Analytics Specifically with: IBM: IBM Smart Cloud Analytics (Log Analysis) – IBM SPSS Predictive Analytics – IBM Cognos Analytics – IBM Analytics for Apache Spark – IBM BigInsights – IBM Cloudant – IBM Compose.

Text & Language Analysis: HUDAP, ALCESTE & SPAD-T (Language Processing) and Excel 2016 Examples:

3. Big Data Instruments & Software:

Advanced NoSQL with MongoDB, Hadoop MapReduce, Drill, HDFS, Hadoop Mahout & MLib, MapR, HortonWorks, Cloudera Enterprise & Director, Hue, Oozie, Impala, ZooKeeper & Ambari, Cassandra, Flume, Sqoop, YARN, Amazon SimpleDB, Kudu, Elastic, Azure DocumentDB, HDInsight, RavenDB, Cloudant, CouchDB, Amazon DynamoDB, Google Big Table, HANA, Azure Table Storage, Redis, Oracle NoSQL DB, Kitaro, Tibco Active Spaces, Sophia, OpenLDAP, ArangoDB. Analysis with: Apache HBase, Apache Hive, Apache Spark, Apache Kafka, Streaming, Storm, Cross Data Filters, D3.js, DC.js, R, Watson, Mathematica 11, Pandas.

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4. Specialist in Cloud Data Management (Cloud Data

Services), Advanced Analytics, Integration and Governance, Data and Content Management, Open Source and Enterprise Content Management.

With Day 2 Day teams I’ve worked with:

• Retail and e-Commerce • Bank & Finance & Control • Smart Mobility and Cities • Marketing & Customers • Human Resources and Talent Management • SaaS, PaaS, IaaS, AIaaS • Operations and Manufacturing

Have you worked with strong personalities in the C Suite and on your own team of direct reports?

Yes, with Versant, db4o & Objectivity with C#. not with C++ Feel comfortable working with people in: C#, Erlang, Haskell, J#, Java, Javascript, JSON, LISP, Perl, Python, PHP, Ruby or SCALA

Do you have Strong Knowledge of data models, data governance frameworks and data reporting tools?

Data Governance: Who, What and Where of Transparency, Accountability and Standardization for Sales Data, Health Data (Human or Infrastructure), App Data and General Management of Data (Decision Making). Data Models: Searching and Ranking, Discovery Groups, Recommendations, Optimization, Document Filtering, Decision Trees, Price Models, Independent Features (Corpus & Text –Language, Sentiment Analysis & Social Networks) Specific Knowledge and Working Frameworks – Reporting Tools with Teams on:

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1.- On Premise Santander Bank: SAS Base, SAS Macro Language, SAS Enterprise Guide, SAS Data Management (Data Integration and Data Quality), ETL to DWH, SAS Visual Analytics, SAS Business Intelligence (SAS Web Report Studio, SAS Olap Studio, SAS Information Maps). 2.- On Premise Santander Bank: SAP Business Objects Enterprise, SAP Business Objects Data Services, SAP HANA Studio, SAP Business Explorer, SAP Lumira Universe Designer / IDT Web Intelligence / Desktop Intelligence & SAP BO Data Federator. 3.- CLOUD Nacional Financiera (Mexican National Commission for Stock Market and Values: PowerBI Enterprise Embedded, Sway, Delve, DocumentDB (NoSQL), Log Analytics, SharePoint, Data factory, HDInsight and SQL Server Azure 2016 with Data Zen and Reporting Services 2016 Integrated. Excel 2016, Azure Cognitive Machine Learning Labs, Sentiment Analysis. 4.- CLOUD CONACYT (Mexican National Science Foundation): a. Amazon Simple Workflow Service (Amazon SWF), AWS Data Pipeline (natively integrated with Amazon S3, Amazon Dynamo DB, Amazon RDS, Amazon EMR, Amazon Redshift and Amazon EC2), and AWS Lambda, an event-driven, zero-administration server less compute service. -Lambda functions can be monitored and written in Java, Python, and Node.js - b. Final repositories: Amazon S3 for later processing (or subsequent loading into Amazon Redshift); Amazon Kinesis (streaming), Amazon Dynamo DB, and relational databases such as Amazon Aurora or Amazon RDS for Oracle, Microsoft SQL Server, PostgreSQL, MySQL, and Maria DB. c. Data Collection: AWS Direct Connect, AWS Snowball, AWS Storage Gateway, AWS Cloud infrastructure & Amazon Kinesis Firehose. d. Data Preparation: Batch processing using Amazon S3, Amazon Elastic Map Reduce (EMR) used on top of Hadoop and other ecosystem tools like Spark, Presto, Hive, Pig, and other data processing frameworks. e. Marketplace ISV Solutions:

• Attunity CloudBeam for Amazon S3, Amazon EMR, and other Hadoop distributions. • Attunity CloudBeam for Amazon Redshift (Oracle, Microsoft SQL Server, and MySQL) • Matillion ETL for Amazon Redshift - import and export data from Amazon S3, Amazon RDS, Amazon EMR, SQL and NoSQL databases, as well as external services such as Google Analytics, Google AdWords, Facebook, Twitter, and more.

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• Informatica Cloud Advanced for Amazon Redshift, Dynamo DB, Amazon S3, Amazon Aurora, Amazon RDS. • Well Versed in Tibco Clarity, Tibco Jaspersoft and Other data integration available from software vendors in AWS Marketplace which include Wandisco, Syncsort, Aspera Faspex for AWS, Auriq Essentia, Cloud Basic RDS Deploy, Data Virtuality, Dataguise Data Masking and Semarchy Convergence for MDM. • Tableau Server Expert in AWS Marketplace ISV Integration for Data Visualization, Reporting, and Analysis. • SAP Business Objects - Cloud and On-Premise - for Data Analysis, Data Exploration, and Operational Reporting with 3 AMI Web Intelligence, Design Studio, Crystal Enterprise, Crystal 2013, and Explorer.

Name two differentiating core competencies and specific examples of accomplishments supporting these two core competencies

1.- Geo reference and Statistical Analysis for e-Commerce: http://sig.ruv.org.mx/ http://map-q3-w2k8r2.cloudapp.net/BolsaInmobiliaria

2.- Geo reference and Statistical Analysis for Decision Making: https://public.tableau.com/profile/ph.d.adrian.guzman#!/vizhome/RegistroUnicodeViviendaMarzo2017/RegistroUnicodeVivienda

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Do you have personal experiences with BI based solutions including:

• Salesforce • Pardot / Eloqua • Cosmos

Describe your experiences with each of these platforms in detail Salesforce:

Working with Senior Management to develop on-going best practices in the software development

(Describe a few of your successful and not successful experiences) Success: Responsible of Data governance for Global SANTANDER Group (Santander Argentina, Peru-Colombia (NALA), Uruguay, Puerto Rico, España-Cantabria, USA-Sovereign, Satander UK, Mexico) more than 45,000 Servers ETL, Agent Control and Automation:

Have you established and maintained policies and standards to guide data usage, storage, retention and development of definitions?

Yes, for more than 45,000 Productive Servers, 20,000 Pre-Productive Servers and its Products.

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Any Professional certifications such as: Professional (CRCP)

Yes

Have you worked closely with colleagues within IT and within the business to ensure consistency in data definitions and data usage Lead the development and integration of enterprise data across the organization including the production, identification, and extraction of data from source systems, the transformation and loading of data into databases

Yes with my team at Santander (12 People) and Nacional Financiera (30 People). Model Santander: 1.- Bladelogic Server AutomationàETL àCognosàBusiness ObjectsàSpoon/Pentaho àIBM Websphere (Middleware & MQ) àInformatica PowerCenter Model NAFIN: 2.- SQL Server 2016 DWHàReporting Services 2016 àCloverETLà DatazenàQlik Sense

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Recruiting staff? Size of staff that you have managed?

Least: 12 People Team 1.- (2) IBM Netcool Monitoring Expert 2.- (1) SWIFT Payments (IBM Websphere & DataStage Expert) 3.- (1) IBM Sterling Expert 4.- (3) Control M –Server Automation Experts 5.- (1) Bladelogic Server and Database Automation Expert 6.- (2) DBA’s (Fidessa & Informatica) 7.- (1) CMDB – Tideway Systems Expert 8.- (1) Project Manager (PMP) & ITIL V3.0 Expert Most: 30 People Team 1.- (10) Java, Hibernate & Spring Experts 2.- (10) TFS & Visual Studio 2015 Experts 3.- (1) Exchange 2016 Expert 4.- (4) Azure Cloud Experts 5.- (1) Qlik Sense Expert 6.- (1) ArcGIS2016 Expert & Google Cloud Expert 7.- (1) DBA 8.- (1) Reporting Services 2016 and Datazen Expert 9.- (1) Tableau Server Expert (Me)

Describe your leadership style/approach to managing people.

I consider myself a “Big Data @ Work” Leader, a “Keeping up with the Quants” Leader and a Chief Data Officer, my style transitioned from being a “Hacker” to become a “Data Scientist”, then an Expert “Quantitative Analyst”, when assigned my first “Team Responsibility” I became a “Trust Adviser” and Finally today I feel my self as a “Business Expert”. Methodologies: I have experience in CA AGILE Central, Microsoft Team Foundation Services, Atlassian JIRA, Excel 2016 Backlog, Portfolio Planning with Service ONE, Six Sigma (Green & Black Belt), PMP v4.0 & 5.0, ITIL V5.0 100% Compliance:

1) Governance: Customer Relationship Management, Group Relationship Management, Internal Governance Management. 2) Service Support: Incident Management, Problem Management, Service Request Fulfillment, Event Management, Access Management. 3) Service Transition: Change Management, Deployment Management, Configuration Management, Asset Management, Knowledge Management. 4) Risk and Compliance: Security Management, Audit Management, IT Risk Management, Compliance Management, IT Continuity Management. 5) Admin and Finance: Finance Management,

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Procurement Management, Suppliers Management. 6) Service Delivery: Capacity Management, Availability Management, IT Operations Management, Data Center and Infrastructure Management. 7) Service Management: Service Level Management, Service Design, Project Management

I learned at least one software related with each of the ITIL V5.0 Stages, for example: Capacity Planning- Omnivision from Axway (France), Service Management – HP Service Center 9.0 or BMC Remedy 9.0 , etc.

Reputation? What would colleagues say about you?

We developed a “Reputation Management” Control Tool in my former consultancy group. I personally believe there is much ignorance as for to generate myself a “Reputation Perception” (other way to say, I really don’t care about my reputation but my work’s reputation) Some usable graphic interfaces are: http://dev.4pay.ca/public/serco/charts.html

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EXAMPLE:

Availability to work in Miami necessary.

(How much travel can you handle in your lifestyle today?) Much, I’m 39 years old, and I’ve lived in 8 Countries.

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OVERVIEW: Tell us about yourself!

3+ top strengths: 1. Adaptability

2. Availability

3. Problem Solver

Additional career accomplishments?

1. Youngest Planetarium Director in Mexico

2. First Mexican in NASA-Ames Advanced Display LAB (1998)

3. First Trip to USA wasn’t to Disneyland, was to NASA

List any awards you have received professionally or personally and explain why you received each award

European Commission of Education and Culture Scholar (Mobility) Scholarship to travel to various countries during Ph.D. Studies Universita degli Studi di Roma “La Sapienza” Scholar (4 Years Ph.D. Scholarship).

Associations or Professional Organizations Memberships

ACM, IEEE, TOASTMASTERS, OPUS DEI Collaborator, Free Masons of UK (during LSE Scholarship).

Values/Principles in Life: (What values are most important to you in your life? On what basis do you make decisions? Take your time and be as accurate as you can.)

(Please list your top 5 Principles in life. Please prioritize them 1-5.) 1 Money 2 Education 3 Family 4 Personal Image 5 Work Image

Notables of Interest: Please share anything unique or interesting about yourself. I have 5 broken bones.

CAREER PLAN: Why move now?Why are you attracted or drawn to this opportunity now in your career

(Why would now be a good time for you to make a move?) I’ve just come back from an interesting project in Milwaukee and Toronto to Queretaro.

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Career Goals: Become Number One Latin-American Chief Data Officer in USA

Industry desired: Banking Finance or Marketing

Company/Environment desired:

Beautiful Office

Relationships desired at work?

(How do people relate to one another at work? How would you prefer they relate to one another?) A place where they use their first name to refer to each other.

Functions desired? (Next move? Long term? Titles/roles?) I imagine myself working with the best data officers, scientist or engineers in a top company.

Job Location Desired (Commute or Relocation preferences)

USA No preferences

Date available to start: Inmediately

Compensation: Base: Bonus: Equity Current: 85,000 year 15,000 Expected: 90,000 year -

Higher Unknown

Minimum: 85,000 year 30,000

PROFESSIONAL REFERENCES: (Who would you use? We will coordinate with you before calling these references. Generally, references are checked only after strong interest on both sides has been established.)

Name Current Title, Company Phone/email

Relationship (Title/Company) when you worked for or with

the reference. Marco Antonio Lopez Perez CNBV-Mexico +5255 1454 7230 Boss: General Director Paul Tinoco Manrique

NAFIN-Mexico +5255 5480 1250 Boss: General Director

Boss:

Peer:

Peer:

Subordinate:

Subordinate:

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The information you give us will arm us to do a better job assisting you in your career, so please be as complete as possible. Clients will not usually see this information unless it helps support our case for your candidacy. Hopefully, seeing the questions will tell you what is important to our client, and thinking through and writing concise answers will better prepare you for your future interviews if we can get them. To provide you with an additional introduction to Stanton Chase, we are both a Top Ten global retained executive-search firm, and a Northern California boutique. We are a locally-owned search practice with regional and global reach, enjoying many partners in 75 offices in 42 countries. We have core strength in the Technology, Financial Services, Non-Profit, Professional Services and Consumer Products industries. More information can be found at www.stantonchase.com. Please save the file as a word format, rather than pdf. Please return this survey to:

David Florence at d.florence@statonchase.com AND Mark Sadovnick at m.sadovnick@stantonchase.com

Thank you. We look forward to supporting your career endeavors.