Pricing optimization, automation and overall analytics for a large Canadian R.E.I.T in order to decrease vacancy costs, increase pricing, increase efficiency and their bottom line.

Leveraging data architecture and NLP methods to combine, map, and match text and identifier hospital data to public medical and surgical data in order to deliver analytics and applications features for a venture backed AI startups product.

AAARL revamped the inventory management system and strategy for a large Medical and Dental E-Commerce Seller through Demand forecasting and optimization in order to improve inventory restocking, reduce lost revenue opportunities from stock-outs, and minimize the cost of inventory in general.

AAARL created a three-layer computational model that optimized rental prices based on a variety of different dynamic factors. The client saw a rental price increase of 4% and a vacancy cost decrease of 30%.

Model design and cross-validation for implementation of third-party natural language processing platform to track customer experience KPIs and automatically relay this information to the right department.

Given a vast amount of unused data, a customer segmentation and behavior analysis was performed in order to inform marketing strategy and to help increase marketing ROI.

Analyzing meals data, analysis was done to recommend efficiency gains in staffing through meal demand prediction, along with menu changes and operational efficiency gains.

Assisted a Distributor of Medical and Dental Supplies in successfully launching a Shopify eCommerce store.

Using real time truck fleet information to automate and report on route efficiency, truck maintenance and saftey data.

Analysis was done on product quality to ensure it met industry standards. Recommendations we're made based on the analysis of how to improve product quality.

A single view company wide dashboard was created to give real-time clarity for executives and save the company a tremendous amount of time.

Using purchase transactions data, a pricing optimization analysis was performed in order to determine pricing elasticity and improve overall profits for their 10,000+ SKUs. Further, a customer and product segmentation was performed to identify which segments were adding the most value to the organization.

Working with a Financial Machine Learning Company, Helped with Backtesting and Creating Automated Scripts for Reporting

Data Aggregation and Pipeline Building for Dashboards