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Web frontend for Decbot data. Hosted at https://decbot.cemetech.net/

• Developed and deployed an interactive media analytics dashboard analyzing 150 English-language political news articles across six major South Korean publications. • Applied TF-IDF vectorization and K-Means clustering to identify recurring themes and examine differences in political news coverage across publications. • Designed a Snowflake cloud analytics layer using relational tables and SQL reporting views to support publication-level comparisons, topic distributions, and NLP cluster analysis. • Integrated Snowflake with Streamlit using RSA key-pair authentication and role-based, read-only access, enabling secure retrieval of cloud-hosted analytics. • Deployed the application through GitLab and Render, delivering an accessible, interactive portfolio project with publication filters, visualizations, and downloadable analytical results.

The Open Energy Tracker is an open data platform for monitoring and visualizing energy policy targets.

Interactive 3D visualization tool for exploring 1M+ historical credit card transactions, built with D3.js, Plotly Dash, and Python.

Node.js server for offline export of Plotly graphs

Interactive charts for biological data with Plotly in Python.

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Practical tasks on Deep Learning (DL) and Neural Networks (NN). 🤖

Fundamental theory and practice in Data Science (DS). 🧮

A set of data machine learning/deep learning projects exploring various datasets — a place to test ideas, models, and modern stacks.

Collected blood pressures, heart rate, and other factors over a month to analyze an unexplained symptom

This project focuses on extracting and visualizing stock data using Python libraries such as yfinance for historical stock prices and web scraping techniques to gather company revenue data. It provides a comprehensive analysis by plotting both stock prices and revenues over time for companies like Tesla and GameStop.

My attempts to solve homework from the Moscow Institute of Physics and Technology course

Trabajas como científico/a de datos para Data Insider, un reconocido equipo de asesores financieros con presencia global, y te ha sido solicitado que elabores un informe detallado para entender de manera objetiva el comportamiento de grandes corporaciones a nivel mundial a partir del año 2015.

polisher is a library that helps you clean your plotly figures.. This library is inspired by the book "Storytelling with Data by Cole Nussbaumer Knaflic (https://www.kobo.com/us/en/ebook/storytelling-with-data).

EDA of border traffic at PL-UA border 01/2022 - 03/2022

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Data Analysis and Visualization