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descriptive-and-predictive-analytics

This project aims at building a predictive model to select the best candidates for a fundraising campaign. Project is performed by: JOHN Nixia Sancy, RAMANNA Nintesh, ZHAKSYBEK Dilda

python--financial-programming

The group project is a Python programming assignment to construct a data science basetable from the provided financial data set. The group project was performed by: MEDINA MARTINEZ Juan Jose, THAYANIDHI Kamalakannan, ZHAKSYBEK Dilda

r-gambling-analysis

This project is a marketing analysis on poker and other games for BWIN online gaming platform using R programming language. Shiny application was build to present the results of the findings. The project is performed by: MA Mui Han, SRIPADA Saisumanth, ZHAKSYBEK Dilda

recommendation-tools-project

The goal of this project is to develop recommendation systems for amazon reviews dataset using Surprise package. This project demonstrated the application of 6 recommendation systems, as well as the preprocessing steps needed to apply the methods.

sas-homeworks

SAS course

sql

Below you will find a report analyzing the company from several aspects based on the data for May-August 2005, and February 2006. Analysis was performed in SQLite.

statistical-and-machine-learning-homeworks

statistical-and-ml-approaches-individual-project

This project was made as part of the Statistical and Machine Learning Approaches for Marketing course at IESEG School of Management

streamlit-financial-dashboard

Streamlit application to build a financial analytics dashboard for S&P500 stocks by extracting data in real time from Yahoo Finance.

tableau-business-reporting-tools

The project intends to explain insights on flight delays departing from New York airports, throughout the year of 2013. The analysis takes into account both internal and external factors such as, weather, type of aircraft, seasonality, origin airport, and destination airport. You can observe a Tableau file with a visual representation of the insights that we believe are the most valuable.