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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.
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 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
Creating automated image classification with data input pipelines, data augmentation and simple conventional neural networks.
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.
Data Warehouse with ELT pipelines
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.
Java challenges for mathematical and interesting problems.
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.
Using KDD network secuirty datasets for developing attack prediction model in sklearn
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.
Power BI report for insurance dataset.
some SQL examples
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
Data application for transaction management
Solved task for solita dev academy.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.