Mithun Yarlagadda

• • Provided and executed the vision and strategy for the experimentation,
  testing and measurement capabilities for enterprise products.
  • Built and Managed end-to-end data science and analytics projects, from
  problem definition to solution deployment, ensuring timely delivery
  and high-quality results.
  • Contributed to overall business strategy by managing programs that
  support evidence-based recommendations grounded in rigorous data analysis.

• Developed and managed an Enterprise level Central AB Testing,
Targeting & Measurement platform at Target, optimizing and scaling the E2E lifecycle management of the Testing,Targeting and measurement program.
• Evangelized and championed measurement and analytics standards for enterprise needs, enhancing data-driven decision making by implementing advanced analytics tools for automated data insights and deep learning capabilities.

• Build Strategy for Experimentation reports with product capabilities, market review, and technology review
• Accountable for Product Management, Marketing, Program Management of Experimentation platform
• Work on challenges created by the current features and plan future roadmap capabilities of the business reports platform.

• Develop and implement optimal process flows for task prioritization and tracking used across teams
• Lead architecture discussions, code reviews and propose solutions to Experimentation platform and reporting
• Create prototypes and work with cross-functional teams for implementation of automated data pipelines and full scale reporting mechanisms.

• Develop and implement algorithms into working prototype code
• Transform large amount of complex data into business insights and scalable solutions
• Define new metrics to help drive business & engineering teams
• Design and implement Big Data systems for batch and stream processing supporting reliable, scalable, efficient analytics.

• Create and maintain data structures needed to analyze large-scale scientific and business information
• Work with different extraction, transformation, and loading (ETL) tools, including those specific to Teradata, SAS, UNIX, and MicroStrategy
• Cater to the data needs of research analysts, dealing business constraints of processing and reporting large data sets.