Data Pipeline for seismic data

In this project i build a data pipeline on Azure to extract seismic data from an API endpoint via HTTP GET request and transform it in the cloud.

RAG System in Azure

In this project, I integrate Azure OpenAI into a Python-based application, retrieve relevant documents using a vector database and enhance generative AI outputs by combining retrieved data with model-generated responses.

MLOps Pipeline for RealTime Youtube Comments Sentiment Analysis

In this project i develop and deploy on AWS EC2 instance an MLOps pipeline for automated sentiment analysis of youtube comments in real-time. I use MLFlow for monitoring and experiment tracking, DVC for versioning, FlaskAPI for deployment, Dockerisation for packaging the application and CI/CD in AWS

Video Games Sales Visualisation

Here i made a dashboard on Tableau from a dataset i found on Kaggle that contains video games sales data .

Spam email detection using Naive Bayes and SVM

Building a neural Network for digits Classification

In this project i built a neural network from scratch for digits recognition . The dataset i used for training contained 64000 images of handwritten digits.

RFM analysis and Sales Dashboard

In this project I executed RFM analysis (scored customers from 1 to 4 based on recency, frequency and monetary total and group them in different categories such as new costumers, lost costumers and potential costumer accordingly) using SQL and afterwards built some visuals on Tableau .

Malicious URL detection

In this project, we found a dataset on kaggle conatining 1.200.00 URLs with no parameters . Through research we found out some parameters related to the existance of virus or not in the URL and trained our model using Logistic Regression.

Country Segmentation

In this data mining project I am trying to determine similar characteristics of countries and cluster them in 4 groups according to their similarities (country segmentation) . I am doing this by applying the gaussian mixture algorithm.

ML Model Deployment using Flask