Machine Learning & Data Science
Machine Learning Solutions. Real Results.
We turn data into predictions and better decisions.
Predictive Modeling
Build models that forecast outcomes such as demand, churn, sales, and risk based using historical data.
Forecasting & Optimization
Plan ahead and make better decisions with models that optimize inventory, pricing, supply chain, and operations.
Pattern Detection & Segmentation
Identify meaningful groups, behaviors, and anomalies to better understand customers, products, and performance.
Model Deployment & Monitoring
Models need to run reliably, not just work once. Deploy models into production and monitor performance over time to ensure accuracy doesn’t degrade.
Embedded in Your Operations
Models are only useful if they are used. Integrate outputs into dashboards, workflows, and decision processes so teams can act on them.
Recent client successes.
With extensive experience across industries such as airlines, CPG, financial services, pharmaceuticals, retail, and sports, our analytics team delivers a portfolio of solutions tailored to your unique needs.
GenAI medical insights
Our global pharmaceutical client sought insights into prescribing behaviors and patient perceptions. We developed an AI agent to generate summaries of key conversations and categorize them effectively.
Technologies
Anomaly detection
Our CPG client sought to identify irregularities in sales data, including unexpected spikes and drops. To address this, our team developed a machine learning model on Nielsen data to detect and alert on change points and outliers.
Technologies
Supply chain optimization
Our global pharmaceutical wholesaler client wanted a custom model to minimize costs in their supply chain. We built an optimization model and business rules to recommend the optimal order quantities for each product.
Technologies
By the numbers.
Our clients' satisfaction is our top priority. We take pride in delivering excellence in every engagement.
$10M+
Yearly Value Generated
50+
technical certifications earned
10-16
average mandate length (weeks)
Our most recent projects.
View some of our most recent data engineering & infrastructure projects.
Machine Learning & Gen AI
Sports Fan Insights AI
Our Client, an NBA team, struggled with extensive fan survey data due to a time-consuming manual cleaning and analysis process, which hindered quick decision-making. Executives often had follow-up questions that required restarting the workflow, isolating insights within individual analysts. As a result, survey analysis was infrequent, delayed, and underutilized for marketing, ticketing, and fan engagement strategies.
Machine Learning & Gen AI
Sports Fan Insights AI
Our Client, an NBA team, struggled with extensive fan survey data due to a time-consuming manual cleaning and analysis process, which hindered quick decision-making. Executives often had follow-up questions that required restarting the workflow, isolating insights within individual analysts. As a result, survey analysis was infrequent, delayed, and underutilized for marketing, ticketing, and fan engagement strategies.
Machine Learning & Gen AI
Gen AI in Pharma: Medical Insights Agent
A global pharmaceutical company faced difficulties processing and analyzing vast amounts of medical insights gathered from healthcare professionals (HCPs). Without automated data pipelines, insight generation was slow, making it difficult to track prescribing behaviors, patient perceptions, and emerging medical trends. Teams relied on manual processes, delaying critical decisions and limiting visibility into key patterns.
Machine Learning & Gen AI
Gen AI in Pharma: Medical Insights Agent
A global pharmaceutical company faced difficulties processing and analyzing vast amounts of medical insights gathered from healthcare professionals (HCPs). Without automated data pipelines, insight generation was slow, making it difficult to track prescribing behaviors, patient perceptions, and emerging medical trends. Teams relied on manual processes, delaying critical decisions and limiting visibility into key patterns.
Machine Learning & Gen AI
Pouring Clarity into Sales: How ML Powers Category Management
A global beverage leader struggled to manage its vast and complex sales data across multiple markets and product lines. Without a centralized reporting system, identifying critical sales anomalies was cumbersome, leading to delayed insights and reactive decision-making. These inefficiencies resulted in stock imbalances, missed opportunities, and a slower response to market shifts.
Machine Learning & Gen AI
Pouring Clarity into Sales: How ML Powers Category Management
A global beverage leader struggled to manage its vast and complex sales data across multiple markets and product lines. Without a centralized reporting system, identifying critical sales anomalies was cumbersome, leading to delayed insights and reactive decision-making. These inefficiencies resulted in stock imbalances, missed opportunities, and a slower response to market shifts.
Machine Learning & Gen AI
Optimizing Supply Chain Efficiency for a Multinational Healthcare Wholesaler
Our client, a multinational healthcare wholesaler, relied on an efficient supply chain to meet customer demands while minimizing inventory costs. To optimize stock levels, they developed a base model in Alteryx that calculated key supply chain metrics, including Economic Order Quantity (EOQ).
Machine Learning & Gen AI
Optimizing Supply Chain Efficiency for a Multinational Healthcare Wholesaler
Our client, a multinational healthcare wholesaler, relied on an efficient supply chain to meet customer demands while minimizing inventory costs. To optimize stock levels, they developed a base model in Alteryx that calculated key supply chain metrics, including Economic Order Quantity (EOQ).
Machine Learning & Gen AI
Automating Loan Selection for Mortgage-Backed Securities
A Canadian financial institution was manually selecting loans for mortgage-backed securities. These loans were required to satisfy multiple business constraints, such as an average credit score. This manual, arduous process was not scalable, leading the firm to seek an analytics solution.
Machine Learning & Gen AI
Automating Loan Selection for Mortgage-Backed Securities
A Canadian financial institution was manually selecting loans for mortgage-backed securities. These loans were required to satisfy multiple business constraints, such as an average credit score. This manual, arduous process was not scalable, leading the firm to seek an analytics solution.
Machine Learning & Gen AI
Optimizing Store Assortment for Multinational Beverage Company
The Category Management team at a multinational beverage company sought to optimize their product mix across their stores using machine learning. The client needed our firm’s data science and data engineering expertise to build a robust solution and interpret the results.
Machine Learning & Gen AI
Optimizing Store Assortment for Multinational Beverage Company
The Category Management team at a multinational beverage company sought to optimize their product mix across their stores using machine learning. The client needed our firm’s data science and data engineering expertise to build a robust solution and interpret the results.
Your GenAI team.
Meet your potential project team. Our Gen AI specialists are here to bring your ideas from concept to reality.
Biography
Ethan Pirso is a Data Scientist and Machine Learning Engineer based in Montreal, Quebec, specializing in healthcare analytics and pharmaceutical solutions. As an Analytics Consultant at Compass Analytics, Ethan builds data pipelines, develops web applications, and leads generative AI projects. Leveraging platforms like Dataiku, Databricks, and AWS, he creates diverse data solutions to tackle complex challenges.
Ethan holds a Master of Management in Analytics from McGill University, with a strong foundation in Neuroscience, Statistics, and Computer Science that fuels his passion for transforming healthcare in Canada. Outside of work, Ethan enjoys staying active—you'll likely find him rock climbing or cycling around Old Montreal.
Areas of Expertise
- Dataiku Technical Lead
- Data Science & Gen AI
- Data Literacy & Training
Industries
- Data Engineering
- Alteryx
- Databricks
Certifications
- Alteryx - Designer Core Certification
- Alteryx - Server Implementation
- Databricks - Azure Databricks Platform Architect
- Databricks - Generative AI Fundamentals
- Databricks - Lakehouse Fundamentals
- Dataiku - Advanced Designer Certificate
- Dataiku - Core Designer Certificate
- Dataiku - Developer Certificate
- Dataiku - Generative AI Practitioner Certificate
- Dataiku - ML Practitioner Certificate
- Dataiku - MLOps Practitioner Certificate
- Microsoft - PL-900: Power Platform Fundamentals
Ethan Pirso
AI Tech lead
Biography
Julien Hovan is a Data Engineer at Compass Analytics, leveraging his web development background and expertise in data science and machine learning to build scalable data solutions.
He holds a B.Sc. in Computational Biology from McGill and is currently pursuing a Master’s in Applied Data Science at the University of Michigan. Skilled in Python, SQL, and big data frameworks, he tackles complex data challenges with ease.
Outside of work, Julien is an avid chess player, enjoys skiing, stays up to date with AI research, and works on programming side projects.
Areas of Expertise
- Python
- Machine Learning/Deep Learning
- React.js
- SQL
Industries
- Data Engineering
- Alteryx
- Databricks
Certifications
Julien Hovan
AI Engineer
