Miladin Djurisic

Experience

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  Swiss International Air Lines

  Apr 2000 - Jan 2004

  • Senior Developer - Data Warehouse

    Jan 2002 - Jan 2004

  • Consultant - Operations Research

    Apr 2000 - Jan 2002
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  XPO Logistics, Inc.

  Jan 2008 - Dec 2008

  Senior Pricing Analyst
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  Pioneer Hi-Bred Ltd -- a subsidiary of E. I. du Pont de Nemours

  Jun 2009 - Feb 2011

  Senior Marketing Analyst
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  Bell

  Oct 2012 - Jan 2014

  Marketing Analytics Specialist -- Bell Mobility

  Built automated processes to collect data used for reporting purposes; mainly tracking and evaluating performance of marketing campaigns.● Led migration from SQL-based to modern MarTech Unica campaign and prospect management tool.Results● Increased ROI from flyer program; 20% lift vs. 2% previously by Implementing linear programming.● Unica migration improved both visibility into campaigns and clearer tracking of client communications.● Improved on-boarding for new hires by developing new procedure. Show less

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  3M

  Jan 2014 - Nov 2021

  Analyzed reporting needs of 20+ analysts and automated generation of price change and communication files.● Led price file data quality by integrating and validating against various cloud-based and client-server sources of data.● Communicated new releases and enhancements with respect to SAP, pricing systems and database tools to the pricing operations team (75+ analysts and managers) and conducted training where needed.● Administered security, workflow requirements and access profiles for 200+ analysts and marketers.Results● Reduced processing time by 50%, eliminated 4/6 steps and improved accuracy to its highest level.● Identified and corrected 10+ error-types in both cloud-based and client-server sources of data.● Established the security and documentation procedures for assigning each new role the appropriate level of access to the data Show less Led 5 analysts in setting up business-to-business key-accounts sales reporting, business-to-consumer pricing elasticity models and digital marketing dashboards.● Developed cluster analysis based on how recent, frequent and how much customers spend; scoured over 2 years of point of sale data, identified 80+ attributes for clustering.● Built data visualization dashboards and statistical models for sales forecasting, cross-selling and customer churn; weighted linear regression and time series model ● Modelled purchasing behavior and customer lifetime value for the oral care and food safety divisions● Collaborated with academia and directed efforts of 4 Masters students.Results● Reduced errors to below the 5% mark as a result of new dashboards and statistical models● Restored reporting lost in system migration to SAP and ensured the creation of both material and customer hierarchies and the necessary levels of reporting Show less

  • Pricing Analytics Specialist

    Oct 2017 - Nov 2021

  • Advanced Analytics Supervisor

    Jan 2014 - Sept 2017
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  Healthcare Materials Management Services

  Jan 2022 - Mar 2022

  Decision Support Quality Improvement Analyst

  Applied continuous integration, continuous delivery/deployment (CI/CD) along with project management methods in developing automated decision support tools to improve quality of service to our customers.● Conducted regular reporting and analytics tasks for our leadership team and provincial government.Results● Improved tracking and information retrieval by creating a dashboard of the supply chain using recently built Power BI datasets of performance KPIs.● Improved the management of the flow of requests by developing an intake process using Salesforce and Smartsheet. Show less

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  AIR MILES Reward Program

  Mar 2022 - Dec 2024

  Senior Analyst - Revenue Operations

  Improved all aspects of analytics and insights being delivered to the Marketing teams by using modern tools such as Amazon Web Service (AWS), Databricks, MLOps, and Tableau.● Developed back-end process to collect rewards data and visualize it in several dashboards providing management day-to-day insights on how campaigns and offers are performing.● Segmented travelers by trip purpose and trained classification models to score look-a-like collectors.● Modelled collectors’ redemption behavior for various rewards using Machine Learning algorithms, Python libraries (ex. Scikit-Learn, Keras, TensorFlow) and feature selection.● Used MLOps principles to develop and deploy forecasting models for flight redemptions with accuracy within 10% on a daily scale, and within 2% on a monthly scale.● Built feature store, stitching process, and model repository on Databricks to support the Rewards Analytics team after migrating to new travel system.Results● Reduced turnaround times for post-mortem analysis on tourism board campaigns (Brand USA) thereby increasing the volume of campaigns from 2 per year to 2 per month.● Resolved a system calculation issue that awarded over 50,000+ collectors with 3+ million missing Air Miles.● Revived a product scoring and ranking algorithm used to feature top products in weekly newsletters.● Restored and improved system reporting capabilities that had been lost in the new system implementation. Show less