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shahinyusifli's Projects

data-analysis-of-fdic-failed-banks icon data-analysis-of-fdic-failed-banks

Quantitive data analytics of FDIC failed banks dataset with univariate and bivariate visualizations in Power BI. Data extraction, wrangling, and modeling are done in Power BI. All created dashboards meet user requirements which were mentioned in the tasks. All tasks are presented in a readme file with their subtasks.

data-application-tlc-new-york icon data-application-tlc-new-york

The TLC New York data application includes processes for batch streaming to both the data lake and data warehouse. Additionally, real-time analytics are implemented through the use of Kafka.

data-engineering-netflix icon data-engineering-netflix

Data engineering solution with normalizing and creating multi-layer data warehousing solution. Airflow is used for the repeatable loading of data. Also, the PostgreSQL Schema objects are intesivly used

dw-credit-risk icon dw-credit-risk

A system has been set up for analyzing credit risk, involving a data warehouse and pipeline. The tools used for this solution include Prefect for workflow management, Redshift for the data warehouse, and an S3 bucket for storage.

irb-model-validation icon irb-model-validation

IRB model validation with statistical tests, distribution analyses, and comparisons. Also, there is a solution for selecting the top 500 approved clients based on previous approvals according to probability.

loans-data-analytics icon loans-data-analytics

I worked on a data analytics project where I developed models to assess IRB credit risk. I also created Looker dashboards that were tailored to meet the specific needs and goals of the project.

movie_list_api icon movie_list_api

A web API that lists and gives options to users to add and modify movies and their details. This part of the application consists of backend code that offers CRUD operation with Spring Boot framework and MongoDB Atlas.

sql_daily_tasks_small_company icon sql_daily_tasks_small_company

I would like to demonstrate my SQL skills when I have faced the same structured SQL-based tasks. Exampled database, data, and queries were not really repeated and all of them are dummies. Tasks included subqueries which included analytical functions and database modeling

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