Portfolio

CEX TRADING BOTS FOR A DEFI HEDGE FUND

28.07.2023

A lot of trading bots were built for the macro DeFi hedge fund (Edge Capital Management LLC) to trade on different cyptocurrency exchanges (CEX) including the top ones. The bots are based on the CEX APIs and own databases to monitor their performance.…

portfolio

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AI POWERED MAP OF YOUTUBE TRAVEL VIDEOS (VOTPUSKSAM.RU)

vOtpuskSam.ru – is an AI powered daily feed of YouTube travel videos on a map, based on NLP and Named Entity Recognition. The project is founded and built by BeWebi, and shows current geo position of travel bloggers, their videos, and allows to watch the videos on the platform. The main problem of modern society…

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4DESK.RU

Visit the website. Frontpage: Product page and online calculator of table sizes: Floating cart with a calculated price, based on the product page sizes, input by the customer: Favorite products: About: Blog: Contacts:…

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TWO SIGMA: “USING NEWS TO PREDICT STOCK MOVEMENTS”

My silver medal solution of a Kaggle challenge from Two Sigma, 2019. The aim of the contest was to do the best stock movement prediction based on news and market data. Full description of the challenge: The leader board can be found here (#124). The solution You can find the source code here…

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MODELS FOR VARIOUS DS/ML COURSES

25.07.2023

Tiny image net 8.2 Tiny image net 8.1 MIPT course final project MIPT course. NLP: tweets classifying with CNN MIPT course. NLP: tweets classifying with simple NN MIPT course. NLP: tweets classifying with Regression and Baies MIPT course. Used cars price prediction with Regressions MIPT course. Fruit image recognition with Pytorch on GPU MIPT course.…

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COMPUTER VISION PROPPANT CHECK CHALLENGE

International Data Analysis Contest held on 11.2020 (the contest website is here). The participants had to determine the size of the proppant grains and the number of granuls from the photograph. My solution to the contest is placed on Kaggle. Achieved rating: #60 of 157 contestants (Team name: Loft).…

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EXAMPLES OF MODELS BUILT (COMMERCIAL EXPERIENCE)

22.07.2023

1. Credit scoring in telecom (MegaFon) Target: Identification of subscribers who are highly likely to return a loan or promised payment for the purposes of marketing campaigns. Tools: Logit , regression analysis 2. Churn prediction, scoring of subscribers by the probability of churn in telecom (MegaFon) Target: Identification of subscribers planning to switch operators to…

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