{"id":15002820,"url":"https://github.com/abdullahasghar/sql","last_synced_at":"2026-03-15T02:46:20.347Z","repository":{"id":196664725,"uuid":"694823848","full_name":"AbdullahAsghar/SQL","owner":"AbdullahAsghar","description":"The repo includes all projects and assessments I have completed with SQL. IDE/s used: MS SQL Server, Google Big Query. 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This project revolves around creation of a financial rewards and penalty structure for vendors focusing on certain KPIs to regulate their performance, and root-cause analysis of an increase in product uploads but decrease in generated revenue, and how it can be resolved. | Confidential |\n| [Braintree SQL Coding Challenge](https://github.com/AbdullahAsghar/SQL_Portfolio/tree/main/Braintree_SQL_Coding_Challenge) | Inspired from [Alexander Connelly's](https://github.com/AlexanderConnelly/BrainTree_SQL_Coding_Challenge_Data_Analyst) attempt, I answered the questions of the coding challenge using my expertise in SQL. Datasets provided were related to the continents, countries, and their per capita GDP from 2004-2012. No particular problem statement but rather a test to examine SQL proficiency. | [Github](https://github.com/AlexanderConnelly/BrainTree_SQL_Coding_Challenge_Data_Analyst)  |\n| [Airline Loyalty Program Analysis](https://github.com/AbdullahAsghar/SQL_Portfolio/tree/main/Braintree_SQL_Coding_Challenge) | In an effort to improve program enrollment, NLA (a fictitious airline) ran a promotion between Feb - Apr 2018. Dataset includes loyalty program signups, enrollment and cancellation details, and additional customer information. \u003cbr\u003e **Problem Statement:** Impact of loyalty program on memberships, campiagn impact on booked flights, success of campaign adoption. | [Maven Analytics](https://mavenanalytics.io/data-playground) | \n| [The Wine Store - Inventory Analysis](https://github.com/AbdullahAsghar/SQL_Portfolio/tree/main/TWS_Inventory_Analysis) | TWS (The Wine Store - a fictitious wine manufacturer) requires a holistic analysis of its inventory for the year 2016. Dataset includes 6 tables, including the begginning and eding inventory records, purchase, and sales invoice records. \u003cbr\u003e **Problem Statement:** Determining sales performance, inventory levels, identifying sales patterns (if any). | [Kaggle](https://www.kaggle.com/datasets/bhanupratapbiswas/inventory-analysis-case-study?select=BegInvFINAL12312016.csv) |\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabdullahasghar%2Fsql","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fabdullahasghar%2Fsql","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabdullahasghar%2Fsql/lists"}