Ziyodullo Gaybullaev

I connected different data sources Postgres Database, SQL Server
Database, Excel files, CSV files, and APIs, and then loaded a variety of
destinations
I created Powerbi, Tableau, and SSRS reports which are leading
software in the market. It helped my client companies to make decisions for future growth
and some Reports utilities were 5 out of 10 on the scale.
I used different powerful Data model languages DAX, and M for
analytical purposes.
I created different schemas for Data Models Snowflake, Star, and
Galaxies. It helped approximately 25 % faster query performance, which means that it
helped end users get responses without wasting time.
I created a Tableau dashboard about rehiring employees which helped
managers how much employees' interest in their company.
I used web Scraping using Python from Olx. uz website about Real
Estate In Tashkent. After getting data I created Machine Learning
Model and finally created a Power BI report. While doing this I used
Pandas, Numpy, and Scikit-Learn. All jobs I did are published to the
public you can find links for them in the Links section and GitHub link

I connected different data sources Postgres Database, SQL Server
Database, Excel files, CSV files, and APIs, and then loaded a variety of
destinations
I created Powerbi, Tableau, and SSRS reports which are leading
software in the market. It helped my client companies to make decisions for future growth
and some Reports utilities were 5 out of 10 on the scale.
I used different powerful Data model languages DAX, and M for
analytical purposes.
I created different schemas for Data Models Snowflake, Star, and
Galaxies. It helped approximately 25 % faster query performance, which means that it
helped end users get responses without wasting time.
I created a Tableau dashboard about rehiring employees which helped
managers how much employees' interest in their company.
I used web Scraping using Python from Olx. uz website about Real
Estate In Tashkent. After getting data I created Machine Learning
Model and finally created a Power BI report. While doing this I used
Pandas, Numpy, and Scikit-Learn. All jobs I did are published to the
public you can find links for them in the Links section and GitHub link

junior student at INHA university