I’ve been studied at Epicode School as Data Scientist for a last 8 months and during the study I have worked with a variety of different real-life projects where my knowledge and my skills has been tested to the full. I have solid programming skills, outstanding data wrangling and visualization capabilities, and excellent communication qualities that allow me to accurately communicate my findings and suggest solutions to often complex problems. I spend my leisure time with my friends, mostly playing football or going to picnic and I also spend a decent amount of time dedicated to my own continuous improvement and development. This is essential for ensuring I stay at the top of my game as a Data Scientist, especially when things are constantly changing and evolving.
I believe that the future of data science is bright, and with increased applications across domains, its prospects are immense. Along with artificial intelligence and machine learning, data science will contribute towards a higher level and intelligent decision-making for businesses.I am now skilled in SQL, and Python, and Machine Learning and Deep Learning models, and am currently learning Django.
2011-2014 I studied in technical subjects at Academic lyceum.
2014-2018 I studied in automatic engineering at Tashkent State Technical University.
2018-2020 I continued my study in Economics at Lazarsky University for master degree but due to quarantine and personal reasons, I temporarly stopped my study.
Jan 2022-Sep 2022 I studied at Epicode Global school as Data Scientist
March 2018-October 2018 I had internship with Tashkent ONIKS company at the role automatic engineer. We control the automatic processes in factory
Moreover from 2016 and 2018 I was tuitor in physics and mathematics in private school at Tashkent
September 2022 and until now I am doing my first Internship with company Data Glacier
During the study at Epicode Global we created real-life projects and solved real problems. Additionally I had learned a lot of new skills such as problem solving and work with team on Github. Some of my projects you can see in below:
In this project we scrapped the data from website yelp.com about some type of businesses in London.We have analysed taken datas with python libraries then present them to investors that what type of business is more profitable in London
In this project I created app which will predict estimate average flight prices in Europe, for that:
1. Scrapped all the datas from website
In this project I provided actionable insights to help private US firm in identifying the right company for making investment.1)I did the analysis with python (link) then created presentation file. 2)Data analysed with PowerBI for better visualization
In this project we build Machine Learning model that is able to detect when heart attack is about to happen. In test.py file you can test it out.
We created and trained a neural networks which is able to detect different kind of items.Main idea is to help Zalando to sort return items
Google fit is one of the most popular fitness app in the world.We created Machine Learning model that it will keep track of the calories you burn and created app for apple watch