Uplift models extension for smart marketing

Insurance companies heavily fund marketing campaigns such as, for instance, customer retention or cross-sell initiatives. Uplift modeling aims at predicting the causal effect of an action such as medical treatment or a marketing campaign on a particular individual by taking into consideration the response to an action. Typically, the result of an uplift model is used to call customers for marketing some products based on important attributes of a customer.

Sparse Multivariate Polynomial Factorization

Factoring large polynomials is one of the main tools provided by mathematical software packages like Maple. It is used by scientists, engineers and mathematicians directly to simplify and study large formulas. It is also used inside Maple to do other tasks such as solving systems of polynomial equations. This project proposes to dramatically improve the speed of polynomial factorization so that larger polynomials can be factored and factored quickly, for example, in minutes instead of

Analysis and Optimization for Industrial Safety and Efficiency

Irwin's Industrial Safety is a leading provider of safety consulting, safety training, and safety operations management. Over the last 4 years, Irwin’s Safety has compiled data on project safety and efficiency over a wide scope of projects. Moving forward, Irwin’s Safety seeks research into how this data can best be analyzed, visualized, and used to optimize future projects. Before data can be analyzed, data scripting will be applied to transform the data into a suitable format.

Control Forecasting Feature

Control is a leader in mobile payment analytics and alerts for SaaS, subscription, and eCommerce businesses, enabling instant intelligence anywhere via its Android, iOS, and web-based products. We collect our customers’ payment data and provide them with their key business metrics that helps them monitor their performance.

Automated transaction classification using machine learning algorithm

The procurement process of an organization is key to understand company costs. Organizations gather large amounts of data coming from different sources (e.g. income statement, balance sheet, general ledger lines). This information is heterogeneous in nature as it is a mix of unstructured and structured data. Moreover, it needs to be cleaned and consolidated in a taxonomy to enable category management. The objective is to group like-to-like items and/or services into categories from Supply Market Analysis point of view and consider category management for the holistic spend.

Trend analysis of the adoption of digital technologies within the aerospace industry

This internship is part of CRIAQ's structuring project "CRIAQ-1645 Digital Aerospace", whose goal is to identify converging trends between aerospace and information and communication technologies (ICT). This project will help in program orientation, for inferring R&D needs in the short, medium and long-term, so to develop digital capabilities that will be more and more important for aerospace companies.

Exploring optimal trading rules in a high-frequency portfolio

Given a set of financial instruments with inherent characteristics at different time intervals, we are interested in finding an optimal trading rule in a high-frequency trading context. A trading rule is defined as a combination of indicators as well as an entry threshold (and potentially other trading parameters). The objective function we are trying to maximize is the profits of the strategy based on the trading rule. One impact of the non-linearity of such problems is that the gradient of the objective function is hard to estimate using a black-box approach.

Cooperative economy in the era of collaborative economy platforms

This project's overarching goal is to spur cooperative enterprises to move into the collaborative economy. Even though the "collaborative economy" shares many values with cooperative enterprises, too few of them have entered the pace in Quebec and Canada, but also globally. This paradox puzzles Quebec's cooperation and mutuality council (CQCM). They want to reverse this trend and help old and new cooperative companies to offer services linked to the collaborative economy platforms. In order to do so, the CQCM want to know why there is such a paradox, and how to act upon it.

Developing the Innovation Capabilities of a Specialized Manufacturing Firm: A Longitudinal Action-Research Case Study

This field research project is a continuation of an on-going multi-year action-research program, undertaken in a large Manufacturer of Industrial products in the Energy Sector. Like many Canadian corporations, faced with pervasive globalization, economic uncertainty, fierce competition and strict legislations, this Family-owned Company aims at revitalizing its product lines, entering new specialized market niches and upgrading the technological level of its offering through the introduction of Internet of things (IoT).

Statistical Machine Learning Framework in Retention and Attrition Modelling

Customer or member retention refers to the ability of a company to retain its customers, and customer attrition, as the counterpart of customer retention, refers to the loss of customers.