Extracting knowledge from data to create smart and monetizable assets for Organizations

Luis de la Torre
Economist | Data Scientist
People Analytics Manager | Data Scientist | Economist | Wiz Data Saiyajin | Data Coach | Data Lecturer

Over the past 20 years I have worked in specialized areas related to collection, analysis, interpretation and visualization of data sets and information to private sector as well as government. 

During those years my tech-software skills (R, Python, SQL, PostgreSQL, Hive-Hadoop, Alteryx, Tableau, Power BI, Big Query, Dataiku, AirFlow) have had a quantum leap in order to manage successfully advanced analytics as well as data science projects. 

In addition to, I recently have worked under lean-agile frameworks and high performance teams. 

Skills | Toolkit

Proyects:

> WALMART MX | Retail-Onmichannel Company | Strategic Tech&Data&Analytics People Projects: 

1) Únete - Masive Hiring App | Role: Data Scientist Chief | Model: Candidate's Scoring | Facebook optimization by geolocalization

2) Migration of core hr-payroll employee data from PeopleSoft to SAP-SuccessFactors-Employee Central | Role: Data Engineer  Leader

3) Change pay frecuency | Update core hr-payroll to new Labor Law (Outsurcing) | Role: Data Engineer  Leader

4) Digitalization + New Management Model for HR Vicepresidency  | Product Model Adoption | Agile Frameworks | Role: Squad Lead & Data Product Leader

5) HRMS: Workforce (Time&Attendance) | EmiLabs (Hiring System) | ULearn (LMS-LXP) | People Data Lake | Genesis (HR Data Mart)

> TELEVISA – Mx TV Network-Broadcasting Company | Project: Statistical model to broadcast optimal scenarios during TV shows | POSITIVE IMPACTS:  The modeling of this analytics solution maximize the total audience (rating) and commercials time simulating optimal number, length and timing of program blocks and commercial breaks

> LUMINAR – ENTRAVISION Company | Project: Hispanic Market Analysis – Searching for Insights | POSITIVE IMPACTS: Testing out social US Hispanic theories from a qualitative and quantitative data base in order to figure out insights of the consumer behavior from the retail, home improvement and financial services industries into the top 8 US Hispanic markets

> AVON – International Cosmetic & Home Products Distributor Company | Project: Demand Predictive Model | POSITIVE IMPACTS: Increase the quantitative hints or insights as auxiliaries to estimate the demand of products according to marketing campaigns configured in AVON catalogs

Collaborations

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