Pinned Repositories
gen-ai-quantum-insight
Quantum Insights is an AI-driven tool designed to make quantum physics research accessible to everyone. It offers easy-to-understand summaries, concept explanations, and code insights from quantum publications, bridging the gap between advanced research and the wider community.
predictive-maintenance-on-industrial-robots
This project develops predictive maintenance models for industrial robots in nuclear fuel replacement, leveraging data analytics, machine learning, and decision-making frameworks to optimize robot fleet management and extend operational uptime. Key phases include data exploration, feature engineering, RUL prediction, and maintenance decision-making
bitcoin-trend-analysis-app
A Streamlit app for analyzing and visualizing Bitcoin market data and tweets. This project includes data management, sentiment analysis, and visual insights into the correlation between Twitter sentiment and Bitcoin price trends.
road-sign-classification
A deep learning project focused on classifying road signs using the GTSRB dataset. This repository includes data augmentation, model optimization, and regularization techniques, featuring both CNN and ResNet-inspired architectures tested under diverse conditions.
neo4j-recommendation-system
A personalized movie recommendation system built with Neo4j, leveraging content-based and collaborative filtering techniques, keyword extraction, and image recognition for real-time, graph-based suggestions
loan-default-prediction-mlops
This project builds a predictive model to evaluate the default risk of personal loans within retail banking. Leveraging an MLOps pipeline, it ensures efficient, scalable, and reliable model deployment on AWS, with a user interface created in Streamlit. The project incorporates experiment tracking, model tuning, and containerization.
bitcoin-vwap-multi-exchange
This repository calculates the Volume Weighted Average Price (VWAP) for Bitcoin trades across multiple exchanges using Python. It processes trade data from CSV files and exports hourly VWAP results.
contract-management-spark-scala
A Scala-based contract management app using Apache Spark. It processes contract data in various formats (JSON, CSV, Parquet, ORC, XML) and performs tasks like cost calculation, status determination, and data extraction. This is an educational fork of an existing projet.
mriusero
mriusero.github.io
mriusero's Repositories
mriusero/gen-ai-quantum-insight
Quantum Insights is an AI-driven tool designed to make quantum physics research accessible to everyone. It offers easy-to-understand summaries, concept explanations, and code insights from quantum publications, bridging the gap between advanced research and the wider community.
mriusero/mriusero
mriusero/real-time-fare-calculator
This repository contains code snippets for a backend platform that calculates real-time taxi fares based on comfort levels. It leverages Kafka for data streaming, ElasticSearch for indexing, and BigQuery for revenue analysis, computing fares by analyzing driver-customer distances, categorized by comfort level and location.
mriusero/road-sign-classification
A deep learning project focused on classifying road signs using the GTSRB dataset. This repository includes data augmentation, model optimization, and regularization techniques, featuring both CNN and ResNet-inspired architectures tested under diverse conditions.
mriusero/loan-default-prediction-mlops
This project builds a predictive model to evaluate the default risk of personal loans within retail banking. Leveraging an MLOps pipeline, it ensures efficient, scalable, and reliable model deployment on AWS, with a user interface created in Streamlit. The project incorporates experiment tracking, model tuning, and containerization.
mriusero/neo4j-recommendation-system
A personalized movie recommendation system built with Neo4j, leveraging content-based and collaborative filtering techniques, keyword extraction, and image recognition for real-time, graph-based suggestions
mriusero/statistical-studies
This repository includes two statistical analysis projects: one on school dropout rates and the other on determinants of women’s principal resource provider status in households. Both projects use statistical tests and models to uncover key insights and visualize the data.
mriusero/bitcoin-trend-analysis-app
A Streamlit app for analyzing and visualizing Bitcoin market data and tweets. This project includes data management, sentiment analysis, and visual insights into the correlation between Twitter sentiment and Bitcoin price trends.
mriusero/contract-management-spark-scala
A Scala-based contract management app using Apache Spark. It processes contract data in various formats (JSON, CSV, Parquet, ORC, XML) and performs tasks like cost calculation, status determination, and data extraction. This is an educational fork of an existing projet.
mriusero/bitcoin-vwap-multi-exchange
This repository calculates the Volume Weighted Average Price (VWAP) for Bitcoin trades across multiple exchanges using Python. It processes trade data from CSV files and exports hourly VWAP results.
mriusero/mriusero.github.io
mriusero/zebrary
mriusero/predictive-maintenance-on-industrial-robots
This project develops predictive maintenance models for industrial robots in nuclear fuel replacement, leveraging data analytics, machine learning, and decision-making frameworks to optimize robot fleet management and extend operational uptime. Key phases include data exploration, feature engineering, RUL prediction, and maintenance decision-making