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Hi there! 👋

My name is Viktor!

I worked a lot with different types of data - with “regular” and with what can be called “big data” (I did a lot of things with my hands in Data Engineering, ML, analytics and backend) using Python. I used to strive to learn tools for the sake of the tools themselves. And since 2023, I realised it’s not about what tools I use but what value I bring to the business. I realised the main thing is the goal and task; the tools are secondary. I also realised that I can not only “do tasks” - I can also bring additional value to a business in the form of creating effective solutions for finding insights for business growth from start to finish (from collecting data from different sources, proper storage, creation of necessary pipelines for transforming data, finding information in data, or creating dashboards). I help businesses grow by making data-driven decisions and implementing data-driven solutions, from design to implementation.

I have invested and continue to invest a lot of time and money in studying the fundamental principles of processing and storing data and algorithms, allowing me to look at problems in a broader, more profound way and with greater understanding.

I prefer to work in small teams - startups or growing start-up businesses. If necessary, I can be the only developer on the team. I wouldn't say I like bureaucracy. This is my element if it is required to complete tasks from different directions. At the same time, I can be a team player. I have had mentoring experience.

My CV: https://vandriichuk.com

ViktorAndriichuk's github stats

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v.andriichuk's Projects

ai-codereviewer icon ai-codereviewer

AI Code Reviewer: Enhance your GitHub workflow with AI-powered code review! Get intelligent feedback and suggestions on pull requests using OpenAI's GPT-4 API, improving code quality and saving developers time.

apache_cluster icon apache_cluster

This repository is dedicated to installation and configuration cluster with Apache products

aws-redshift-data-pipeline-with-airflow icon aws-redshift-data-pipeline-with-airflow

Developed a data pipeline to automate data warehouse ETL by building custom airflow operators that handle the extraction, transformation, validation and loading of data from S3 -> Redshift -> S3

chatbot icon chatbot

ChatBot in Python by using Flask and Docker

cml icon cml

♾️ CML - Continuous Machine Learning | CI/CD for ML

crumby icon crumby

🍪 A Flask based web analytics app.

deep_learning_2018-19 icon deep_learning_2018-19

Официальный репозиторий курса Deep Learning (2018-2019) от Deep Learning School при ФПМИ МФТИ

delight icon delight

A Spark UI and Spark History Server alternative with CPU and Memory metrics! Delight is free, cross-platform, and open-source.

deordie-meetups icon deordie-meetups

DE or DIE meetup made by data engineers for data engineers. Currently in Russian only.

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