- Developed Multi-Channel Mix Model to provide investment recommendation and Media Channels investment recommendation- Builded ML model to forecast media KPI - Provide marketing insights and recommendations based on multiply data sources by using SQL, Python - Established A/B test for media brand campaigns and provided insightful result

Overview​: Worked with the Corporate Strategy & Analytics team to analyze  product sales data to discover and identify product insights that help drive  business growth  ● Worked closely with the Data Science Manager to analyze product sales  data and provide a deep dive analysis of product performance  ● ETL raw sales data from SQL server using SQL and Python Pandas  ● Identified the key drivers of product performance  ● Assisted Strategy team to understand product performance at the store  level and developed store clustering  ● Developed dashboards using Tableau

Overview: ​Led a team to deliver day to day campaign execution, optimization, and analysis for the largest telecom client in Canada. Helped company faultless adopt and on-boarding the new client business in Q4  ● Adopted and on-boarded new client business   ● Applied highly analytical and quantitative approaches to deliver campaign performance  ● Dug into campaigns, ad server and user data to identify and capitalize on key drivers of performance and identify opportunities for account  growth  ● Provided value POV to strategy approaches as the programmatic expert  ● Assisted with client strategy development, annual account plans and marketing solution for the client

- Setting up, managing and monitoring campaign performance across all display and video on different DSPs (Google, Amazon, The Trade Desk etc)- Leveraging data from multiply sources to provide actionable insights and develop successful optimization strategies to improve campaign performance