Sia's Projects
Exploratory Analysis using graphs, clustering & K-mean
This is a general exploratory analysis for some university students in a specific course. The result is a nice Shiny dashboard and raw data contains 4 csv. files with the information needed. The focus here is to have a better understanding of data using graphs with ggplot2.
Basic analyzing for a small Data Set
An AI-driven tool for managing multi-currency expenses, integrating multiple accounts with Google Sheets using Vertex AI Gemini Pro for real-time transaction tracking and categorization.
Personal Portfolio
Microservices with Python, Flask & Docker - Building an application
This project aims to predict whether the cancer tumor is malignant or benign using machine learning models.
Creating interactive Chatbots - NLP - NLU - Rasa - spaCy - ScikitLearn
A heavy and complete analysis for a distribution company that is selling plenty of products. This nice report contains various amazing analyses ranging from exploratory analysis, Basket and RFM analysis, and recommendations for the management to help them for decision making.
Some Deep Learning Projects
Investigation of the company in fraud in energy bids and scheduling by text analytics, CART, and random forest in R
The goal of this report is: -predicting a transformation of the player `Position` variable, -predicting player's market `Value` by predictive machine learning modeling in R with "tidymodels" package.
Building logistic regression model in R and evaluate probabilities produced by the model based on the target variable: "coronary heart disease CHD in the next 10 years"
The Art of Landing Your First Tech Job: A Graduate's Tale
A repo to practice Data Structures, Algorithms, Statistics and core concepts of Machine Learning (Python)
Practice NLP and relevant libraries, this time in Python. Regular Expressions, Tokenization, Topic Identification, NER, Classifiers
RFM analysis and association rules for an online retail data set.
an AI agent using LangChain for data analysis and adaptive RAG
A FAQ Chatbot, built and designed to assist prospective PhD at the Doctoral Management Program of the UPC
Predict restaurant visitors using linear regression by R & MySQL
Sentiment Analysis in Python
Scrape news headlines from Finviz for FB and TSLA then apply sentiment analysis to generate investment insight.
Executive summary report for students performance at two subjects using R & decision tree approach
In this report, the goal is to predict Attrition by selecting a set of explanatory variables and building a random forest classification tree.
The main idea is to analyze the dataset and examine the market using graphs.