Akhil

• Around 3.6 years of IT experience in the Development, Analysis, Implementation, and testing of various applications.
• Worked on Scala Spark for Performing Pricing Insights.
• Worked on Apache SPARK in migration of Abinito framework to SPRAK Application.
• Worked on Abintio and Talend in Extraction, Transformation, and Loading (ETL) mechanism.
• Worked on Java in the conversion of Excel to XML and vice versa using JAVA Spring boot Application with Rest API.
• Having knowledge of Data Warehousing Concepts.

Professional and Project details:

Project 1:

  • Most Common Pricing

Duration: 

  • March 2021 - Till now

Project Description:

Most common prices (MCP) are SKU Price points where the most volume(units) or value sales are happening in a defined period and stores. Standard reporting uses the top 5 MCPs, split into the regular, promo, and total. These price points are real shelf prices that are relevant benchmarks for the client to compare with. Knowing the MCP and the % of units sold in a certain market helps the user understand whether he wants to be aligned, underpriced or overpriced compared to the MCP, this will vary depending on his pricing strategy.

Provide Client access to the latest (last week RMS, previous day Audit/WEB) price position analyzing different data sources available in a standardized format to Nielsen from retailers and audits/scraps, analyzing the volume of sales behind different price points using price dispersions and MCP, correctly split to Regular and Promo conditions. Our Clients and Analysts can customize outputs in an online platform based on Nielsen Standard output as a part of our core product.

Our retail clients would be able to use our product to get the analytics for their Retailer stores only, for the Market benchmark only or as a comparison of the Retailer store vs Benchmark. Manufacturers will be able to compare their brands vs competitive

Roles and Responsibilities:

  • Creation of platforms for the addition of new countries.

  • Development of the Stories.

  • Enhancement of existing codes to accept new regulatory rules.

  • Migration of codes to higher environment.

  • Providing issue resolution steps to the higher environment in case of critical failures.

  • Leading the team in completing the sprint

  • Handling the Production Deployments.

  • Reviewing the codes of the team.

  • Involved in Sprint Planning and assigning the stories across the team.

  • Analyzing and providing the solutions for the requirements of the client.

  • 

Tools and Technologies:

  • Scala Spark, Scala IDE, DataBricks, Bitbucket, AirFlow