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himarygr/README.md

Hi, I'm Maria Lagosha

Maria Lagosha

Welcome to my GitHub repository! I am developer with more than 3 years experience, aspiring Data Scientist. I also know data engineering, I can build ETL pipelines in Node-Red, Logstash, build BI visualizations in Grafana, Superset, Power BI and launch marketing campaigns in SAS EG. Currently, I am pursuing a Master's degree in Data Science from HSE, specializing in neural networks. Here, you'll find my studies and pet projects related to Data Science.

GitHub Profile Telegram Email

🔥 My Stats :

👩‍💻 My Skills :

Python SQL Kafka Apache Superset Grafana TensorFlow Node-RED Apache NiFi SAS Enterprise Guide

Education

  • Master of Data Science, HSE University (2023 - 2025)
  • Bachelor of Science in Chemical Technology, MIREA (2018 - 2022)

Let's connect and collaborate! You can reach me through the following channels:

GitHub | Telegram | Email

© 2023-2024 Maria Lagosha. All rights reserved.

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  1. apache-superset-css-templates apache-superset-css-templates Public

    👗 📄 A catalog of CSS templates I developed to style the dashboard in Apache Superset

    CSS 32 10

  2. disease-prediction-ml-model-app disease-prediction-ml-model-app Public

    A model on the streamlit framework predicts disease and makes a treatment recommendation

    Jupyter Notebook 2 1

  3. apache-superset-charts-js apache-superset-charts-js Public

    💪📊 This repository contains custom charts for Apache Superset

    JavaScript 6

  4. d2-slack-architecture d2-slack-architecture Public

    This project is an architecture of real-time messaging system similar to Slack, designed using a microservices architecture.

    D2

  5. email-validator-ci-cd email-validator-ci-cd Public

    The Email Validator is a simple web API that checks the validity of email addresses. It is built with Flask and deployed on Kubernetes using Minikube.

    Python

  6. imdb-sentiment-classifier imdb-sentiment-classifier Public

    Machine learning pipeline for IMDB movie review sentiment analysis using Logistic Regression, FastAPI, and Docker. Track experiments with Neptune.ai and explore an interactive web interface. 🚀

    Python