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AI-powered next-action recommendations to boost user engagement, streamline decision-making, and enhance personalized experiences with intelligent automation.
We’re turning clicks into stickiness!
We built an ensemble recommendation system using BERT4Rec and XGBoost models to optimize user engagement, retention, time spent on a platform, enhancing personalized recommendations and satisfaction.
Analysis of North American and International economic sectors with investments.
Submission to CxC 2025 SAP Challenge, Poverty Analytics
Optimizing User Engagement on the Federato RiskOps Platform: A Data-Driven Approach
Our work Federato
Next-event predictive modelling and user journey map.
An intelligent workflow engine leveraging causal inference, predictive modeling and interactive graph visualizations to optimize user navigation and enhance engagement on the Federato RiskOps platform
Comprehensive analysis covering peak periods, customer spending, revenue forecasting, operational offsets, waiter performance, weather impact, holiday trends, and tipping behaviors.
Food Hire Forecast is an AI-powered tool that predicts daily transactions and recommends optimal staffing levels. Maximize efficiency, cut costs, and ensure you're always prepared for demand surges!
After analyzing Canada's tech startup landscape, we built VCDash - a canvas tool where VCs can freely arrange charts, connect insights, and communicate discoveries in one intuitive space.
Datathon Projects
This report analyzes trends in Canadian tech investments, highlighting key sectors, growth drivers, and future prospects, offering actionable insights for investors navigating the evolving landscape.
Dive into Canada's tech gold rush with Maple Valley!
A comprehensive analytics dashboard and report for Canadian tech investments, providing insights into funding trends, investor behaviour, and sectoral growth.
This project uses the SAP dataset to create a Multidimensional Poverty Index (MPI), and leverages unsupervised and supervised machine learning techniques to analyze feature importance.
Here for fun
This project seeks to move beyond GDP by analyzing the Multidimensional Poverty Index (MPI) as a more comprehensive indicator of extreme poverty.
Data for dignity, insights for equity
Unlocking insights into global poverty using data-driven MPI scores to guide better policy solutions.
In this datathon, we analyzed user interaction data from the Federato RiskOps platform to uncover patterns that drive engagement and longer session times.
an ai design model helps to create structure according to customer and analyse it
Run QL Submission
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