Data scientist, ML, NLP, CV
Summary
- Recommender system is one of the best applications of data science. Every consumer needs an Internet
company
Recommendation system like Netflix, Youtube, news feed and more.
- A machine learning project in the electricity market, especially focused on the feature
engineering for daily price forecasting and energy resource targeting. The project was based on open data
Australia and Europe using the openne.org.au platform.
Instagram account using Instagram API. The project used an Uzbek dataset and analyzed sentiment
social media marketing (SMM) analysis.
-Sentiment analysis for English-based news is a machine learning model and its data
Prepared based on the sources of local and local publications of Uzbekistan. That is, this
categorizes data based on header.
- Edit reviews left for movies on Netflix-like movie sites with NLP technology and divide them into negative
and positive reviews.
- Using CV technology, the technology used in the autopilot, that is, the ability to distinguish between
images, distinguish between images and determine what image is an image.
- Determining whether patients have medically related diabetes through Deep Learning technology.
Image segmentation and image recognition using Deep learning CV technology:
Expectations
Arslonbek Contact
Date of birth: 13/08/2004
Nationality: Uzbek
Gender: Male
Phone number:(+ Contact13 (Mobile)
Email address: Contact
Address: Tashkent, Tashkent, Uzbekistan (Work)
Employment Preferences
Expected Base Salary
**0 USD
Expected Hourly Rate
* USD/hr
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
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