About

I am a AI and data analytics leader with fifteen years of experience in global markets, including pharmaceuticals and other regulated industries. I connect business analytics, customer insights and market data with strategy, portfolio management and performance tracking. My work focuses on data architecture, governance and executive dashboards that help leaders make better decisions with confidence.

Experience snapshot

ThruIQ

Founder – Data and AI Consulting · 2025–Present

Experimental lab for analytics and AI, including a confidential ecommerce solution that combines data engineering, AI agents and RAG.

Cargill

Senior Software and BI Engineering Manager · 2021–2025

Led a team of engineers for Latin America and North America. Delivered portfolio optimisation, dashboards and savings above three million dollars.

Cargill

Senior Lead – Data Analytics · 2020–2021

Redesigned analytics architecture, reduced ETL and release time and moved key reports from manual sheets to trusted Tableau dashboards.

Pfizer

Data Analytics Specialist · 2017–2020

Led the global analytics for Audit and Compliance. Improved data integrity for more than two hundred controls and reduced audit prep time.

DXC / Hewlett Packard

Business Intelligence Specialist · 2015–2017

Built analytics and reporting solutions for a global client. Lowered manual reporting effort and improved data quality and KPI alignment.

DXC / Hewlett Packard

Account Delivery Lead · 2012–2015

Ran operations for more than four hundred applications. Improved incident resolution time and service level performance for senior stakeholders.

Portfolio projects

Completed during my DS and Analytics certification

Below are selected projects from my data analytics certification and personal work. Each one includes a business question, an analytical approach and clear impact.

EasyVisa

Classification · Predictive modeling

Built a classification model to estimate the probability of visa approval based on job, education and employer data. Focus on model performance, fairness and misclassification costs.

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FoodHub

Customer behavior · Demand patterns

Analyzed order data for an online food delivery platform to understand demand peaks, customer segments and drivers of repeat orders, supporting marketing and operational planning.

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INN Hotels

Text analytics · Reviews

Analyze and find which factors have a high influence on booking cancellations using predictive models and help in formulating profitable policies for cancellations and refunds.

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ReCell

Risk analytics

Linear regression model to predict the price of a used phone/tablet and identify factors that significantly influence it.

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Stock prices

Unsupervised learning

Use unsupervised learning to find possible stock groupings and recommend investments for an investing firm.

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ReneWind

Classification models

Build various classification models, tune them, and find the best one that will help identify failures so that the generators could be repaired before failing/breaking to reduce the overall maintenance cost.

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Contact

If you would like to discuss roles in Leadership, AI, Business Analytics or Data Enginerring, feel free to reach out.

rob.torres1@outlook.com