Don Shaher Email & Phone Number

Toronto, On, Ca

Toronto, Ontario, Canada

- Led delivery of AI and Search features that were adopted by over 90% of the customers and drove a 40% increase in automation rate.- Coordinated delivery of features across 2 engineering teams and 6+ stakeholder groups.- Proposed and influenced delivery of semantic search into the Loopio platform, driving 20% increase in search accuracy and 15% increase in search automation rate.- Collaborated with data science teams to manage R&D and converted it into AI features.Shipped the following Generative AI features:- Generating AI responses using the Loopio Content Library. This RAG feature directly drove 14% of total customer retention in 2023 and 2024.- Editing content with AI - it increased the quality of 60% of RFP responses.- Viewing sources of AI responses - it increased user trust in AI responses and led to 25% increase in customer satisfaction with Loopio’s AI solution.- Generating AI responses using content from cloud-based storage (ex: Google Drive, OneDrive).Responsibilities- Use customers research and competitive research to construct AI strategy and roadmap.- Execute on Loopio's AI roadmap to build accurate search and valuable AI capabilities at Loopio. - Leading lean discovery and rapid decision-making in order to deliver AI features on an ambitious timeline.- Prioritize highest value features through iterative validation and product development.

Toronto, Ontario, Canada

Toronto, Ontario, Canada

- Shipped multiple data products that helped increase automotive fleet safety by 5%.- Converted data science research into AI features that were adopted by 80% of customers.- Shipped a safety scorecard feature that used predictive AI models to score driver safety.- Collaborated with R&D team to ship a feature that detected suspected vehicle collisions.Responsibilities - Built product roadmaps and executed requirements with multiple teams- Worked closely with other product managers, sales and customers to understand customer pains- Worked with UX team to ideate the optimal user flows and built UI- Worked with development teams to coordinate logistics to feature rollout- Shipped multiple products with high usage and built MVPs

Toronto, Ontario, Canada

Inteliplus Data provides segmentation solutions to enable marketing ROI optimization.Position Summary- Led a team of 3 engineers and data scientists to build a marketing segmentation platform.- Managed delivery of predictive segmentation models that powered the platform (Churn, LTV, RFM Models)Responsibilities• Led a team of data scientists to build automated machine learning pipelines.• Worked with clients to build solutions that enabled companies to retain customers• Built partnerships, oversaw company financial reporting and legal compliance• Oversaw client engagement, on-boarding, and client experience processes• Managed building of ETLs and APIs with AWS Cloud S3, Lambda, EMR and Sagemaker

Toronto, Canada Area

Management Responsibilities:- Delivered end-to-end data projects that drove product and marketing decisions - Oversaw A/B testing automation deployment that cut feature testing time by more than 50%- Helped drive 15% increase in advertising ROI by deploying an LTV optimization model.- Implemented data governance policies that increased accuracy across all data sourcesTechnical Responsibilities:• Delivered end-to-end data projects that drove product and marketing decisions • Built pipelines to create data sources using Scala, Python and Apache Spark• Deployed machine learning model that predicted user value at high accuracy• Deployed ETL infrastructure to identify and flag problematic online content• Worked with the team to automate A/B testing infrastructure• Worked closely with stakeholders to capture requirements and communicated to ensure timely delivery of product• Tech stack: Spark Scala, Spark Python, AWS, Redshift, S3, EMR, databricks

Toronto

Management Responsibilities:- Built actionable insights and strategy recommendations using online data- Managed creation of customer segmentation dashboards that enabled faster product decisions- Integrated customer action and survey data to identify top product improvement priorities- Ensured iterative building of BI tools by using agile methods and stakeholder feedbackTechnical Responsibilities:• Analyzed online data to derive actionable insights and make recommendations• Built relationships with technical and business stakeholders• Created actionable customer behaviour dashboards using Python, SQL, BigQuery• Built a machine learning forecasting system to predict product success (using ARIMA)• Tech Stack Used: R, Python, SQL, Google Analytics, Big Query, Spark, Tableau, Excel

Toronto, Canada Area

Management Responsibilities:- Used research to make strategic recommendations to clients like KFC, Honda, Pizza Hut- Increased KFC ecommerce purchasing conversion rate by identifying UX inefficiencies- Made recommendations that McCain Foods used to drive 70% increase in online engagement- Enabled faster business planning for Honda by predicting sales volume and engagementTechnical Responsibilities:• Analyzed online data to derive actionable insights and optimize ROI• Assisted in generation of forecasts & KPI targets • Analyzed media data and performed attribution analysis• Analyzed campaign performance, website UX, and conversion funnels

Bachelor'S Degree, Political Science, Molecular Biology

• Quant political science with focus on strategy and international economics • Molecular Biology, with focus on experimental design • Was.

Postgraduate Degree, Marketing Research And Analytics, With Honors

• Learned marketing analysis, advanced statistics and data mining • Learned management analytics using case studies