Key accomplishments

Scotiabank – Optimized the information consolidation process and innovation in report presentation using different technological tools, such as Python, SharePoint lists, and Power BI, which improved the report update times by 92%.

Phenix Scheduler – Analyzed information and developed R code to identify anomalies in shipment planning data. Improved shipping forecast accuracy from 80% to 94%, optimizing logistics and sales.

Cala Analytics – Led the Machine Learning training team and Support the Consulting team in Latin America of IBM SPSS software (R guide, Microsoft office Excel, IBM SPSS Statistics, IBM SPSS Modeler)

Cueros Vélez S.A.S –  Led the SAS data mining project, improving client understanding and increasing sales by 25%. Developed different statistical models to understand the brand’s customer profile, making models such as: Customer segmentation, Sales forecast, inventory forecast and Market basket analysis.


Role 1
Data scientist
Role 2
Business intelligence developer
Test Score
AI, Machine learning, Data Science
100%

Unspecified
Any
Senior
Canada
Any
NA
Remote
$200,000.00 / Annual

Education

  • January 6 2006 - November 30 2012
    University National of Colombia

    Statistics

    Bachelor degree in Statistics.


Experience


Expertise

Machine Learning
100
Statisctics
100
Automation
100
R guide
100
Python
100
SQL
100
SAS
100
SPSS
100
Power BI
100
Azure
100
Project Management
100
Business Intelligence
100
Data Science modules
100
Power Point
100
Confluence
100
Jira
100

Languages

English,
Spanish