PhD in AI/ML • Best Paper Award • 8 Publications

Where Clarity
Meets Scale

I build and evolve the technology systems, teams, and strategies that modern organizations depend on.

When platforms must scale, cloud environments must mature, and data must drive decisions—this is where I lead.

$8M+
Revenue Generated
56%
Cost Reduction
20M+
Users Supported
100%
Team Retention
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Mondelle Simeon

Expertise

Cloud Infrastructure & FinOps

Azure, AWS, and multi-cloud architecture with expertise in governance, security, cost optimization, and strategic financial management.

AI & Data Strategy

Machine learning, predictive analytics, and data engineering that delivers measurable business value with proven track record of 97%+ accuracy.

Engineering Leadership

Building high-performing teams across continents, scaling organizations, and mentoring future technical leaders with 100% retention.

Mondelle Simeon - Professional headshot

About

I work at the intersection of cloud, data, AI, and engineering—four worlds that rarely align cleanly. My strength lies in bringing them together.

I step into environments that are growing fast or operating with fragmented processes and legacy systems. I bring direction, structure, and a clear sense of where the organization needs to go.

I scale what others inherit. I clarify what others struggle to articulate. I create systems—both human and technical—that continue to perform long after the initial transformation.

Core Expertise

  • Cloud Architecture
  • Data Engineering
  • AI/ML & Predictive Systems
  • FinOps
  • Engineering Leadership
  • Organization Scaling

Leadership Philosophy

How I lead teams, make decisions, and drive transformation.

01

Clarity Before Speed

Fast execution on the wrong direction wastes more time than thoughtful planning. I invest in defining the problem before racing to solutions.

02

Architecture as Strategic Asset

Good architecture isn't just technical—it's a business enabler. I design systems that support both today's needs and tomorrow's opportunities.

03

Data as a Multiplier

Data doesn't just inform decisions—it accelerates them. I build data systems that turn insights into competitive advantages.

04

Scale Through Teams, Not Individuals

Sustainable growth comes from multiplying capability, not burning out stars. I develop leaders who can lead independently.

05

Governance That Enables

Controls should accelerate confidence, not slow down innovation. I create frameworks that guide without restricting.

06

Measure What Matters

Metrics drive behavior. I focus on outcomes over activity, business impact over technical elegance, and sustainable improvement over quick wins.

Experience

June 2025 - Present

Director, Cloud Infrastructure

Information Services Corporation (ISC)

Leading cloud transformation across regions and tenants. Strengthening governance, operations, and clarity across complex environments.

  • Executed ISC's first comprehensive Azure Audit
  • Negotiated 6% discount with CSP partner through rate optimization
  • Reduced average ServiceNow ticket resolution from 26 hours to 10 hours
  • Established 24×5 operations coverage across Ireland and Canada
September 2021 - May 2025

Director, Software Engineering

PDI Technologies

Guided engineering teams through modernization. Built leaders, reshaped architecture, improved velocity, and delivered major cloud cost savings.

  • Scaled team from 21 to 32 engineers, maintaining 100% retention
  • Generated $8M in annual revenue through new product development
  • Achieved 56% infrastructure cost reduction through AWS optimization
  • Increased mobile monthly active users from 4M to 7M
November 2018 - August 2021

Manager, Data Science & Analytics

GasBuddy

Built predictive systems supporting millions of users and delivering intelligence that powered product, marketing, and business decisions.

  • Developed fuel demand prediction model with 97.4% accuracy
  • Led strategic analytics roadmap resulting in 25% revenue increase
  • Reduced customer churn by 30% through predictive modeling
  • Established cloud-based data warehouse and BI platform
September 2014 - October 2018

Lead Data Scientist & Research Scientist

GasBuddy

Pioneered machine learning models for commodity price prediction and customer segmentation, establishing GasBuddy's data science foundation.

  • Launched industry-first ML-powered gas price prediction product (90%+ accuracy)
  • Implemented user segmentation increasing customer engagement by 40%
  • Established data warehouse and BI infrastructure on AWS
  • Built real-time price validation system processing millions of daily records
2006 - 2014

Research & Academia

University of Regina

PhD in Computer Science with focus on machine learning and data mining. Published 8 peer-reviewed papers and received Best Paper award.

  • Awarded National Research Fellowship (NSERC)
  • Best Paper at 4th International Conference on Resource Intensive Applications
  • 8 peer-reviewed publications in machine learning
  • Presented at conferences across 5 countries

Education

2013

PhD in Computer Science

University of Regina

Data Science, Machine Learning, AI

Dissertation: Discovering Group Differences from Qualitative and Quantitative Attributes using Contrast Set Mining
  • Best Paper Award - 4th International Conference (2012)
  • 8 peer-reviewed publications
  • President's Distinguished Graduate Student Award Nominee
2004

Bachelor of Science in Computer Science (Honours)

University of New Brunswick

Software Engineering, Distributed Systems

Honours Thesis: Parallel and Distributed Interface for Octave
2004

Bachelor of Science in Mathematics

University of New Brunswick

Applied Mathematics, Statistical Analysis

Strong foundation in mathematical theory supporting computational problem-solving

Trusted by Leading Organizations

Featured Projects

Real-Time Price Validation

Machine Learning

Built validation system processing millions of daily records with Spark, reducing incorrect price entries by 85% and improving user retention by 10%.

Python Spark AWS
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Predictive Demand Models

Data Science

Created weekly U.S. fuel demand forecasting model delivering 2-day early predictions with 97.4% accuracy (~2.58% error rate).

Python Time Series Statistical Modeling
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Cloud Cost Optimization

FinOps

Achieved 56% infrastructure cost reduction through strategic AWS reserved nodes and comprehensive FinOps implementation across 17 environments.

AWS Azure Corestack
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Fraud Detection System

AI/ML

Developed AWS Fraud Detector solution achieving 90% AUC score while maintaining 1% false positive rate, preventing $51K in losses.

AWS Fraud Detector Machine Learning Python
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Location-Matching Engine

Data Engineering

Built geospatial intelligence system using fuzzy matching and Haversine distance calculations, improving location data accuracy by 90%.

PySpark Geospatial Redshift
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Behavioral Clustering

Analytics

Implemented K-means and DBSCAN clustering for user segmentation, boosting engagement by 15% through personalized experiences.

Python ML Algorithms AWS
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Get in Touch

If you're navigating growth, modernization, or technical complexity, I'd be happy to connect.

Location

Regina, Saskatchewan, Canada