In an attempt to handle repetitive code, this is the creation of functions to keep our work flexible, maintainable, and interpretable.
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Updated
Sep 9, 2021 - Jupyter Notebook
In an attempt to handle repetitive code, this is the creation of functions to keep our work flexible, maintainable, and interpretable.
Standalone HTTP service for ingesting user behaviour events, backed by Postgres, ClickHouse and Fastify.
Проведение A/А/B тестирования для оценки необходимости изменения цены премиум-подписки на платформе для онлайн-знакомств
Проекты python
Migrate historical events from Amplitude to Posthog
My notes as I read through books, watch talks and generally just learn!
Product analysis done on the data of revenue from social network users and cost of user aqcuisetion. Computed KPIs such as Sessions per user, Actions per user,DAU, CAC, RoI, etc. Different methids of customer acquisition were considered and reccomendations regarding acquisition strategy were provided
A curated list of awesome Web3 tools, books, courses, and more. Launch and learn on web3 faster!
Analyzing mobile game player activity data...
Understanding how well a product that is published on the E-Commerce platform Wish is going to sell using Machine Learning.
Product Sales Data Analytics
Combination of different Data and Business Analytics projects, done with python and different machine learning techniques.
Build a Machine learning model to direct customers to subscribe product through a app behavior analysis
Analysis of large retailer's sales data. Customer segmentation using RFM analysis and k-means clustering
Career Foundry data analytics project to provide a client recommendations on a marketing strategy. Jupyter notebooks include cleaning and merging data along with creating new columns to offer the best understanding of consumers' interactions with products.
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