Leaflet demo created for Coursera / John Hopkins University Developing Data Products course.

PROJECTS from Data Science and Analytics, MSc Program 2016-2017 | Hira Fatima

Stock data visualization website made with flask for Timathon CodeJam.

Start your R code scripts like this with pacman package to deal with install or loading packages + some interactive beginner visualizations

A project used Flask to present a stock-insight dashboard. Utilised google trend to catch recently the hottest topics regarding to ASX, imported a python library, yfinanace, to scrap targeted stock’s data which users interested in, and provided users with a NoSQL database to store and delete their records of stocks' relative data.

Interactive Visualization with Plotly of the Vehicle Routing Problem with Time Windows - Linear Formulation with GurobiPy

This project contains 4 Hand-on experience of Data Analysis on 4 different topics. The Demo link is given below.

Web-Based Balinese Language Text Classification using Multinomial Naive Bayes

Data Visualization project on the history of Olympics

Interactive dashboard visualizing microbial diversity in human navels, built with JavaScript, Plotly, and HTML/CSS.

Simple Omega2+ web application for controlling the on-board LED.

Analyzing earth quakes that have occurred around the world and making visualizations using Matplotlib and Plotly.

This dashboard was created by the data used from the UCI dataset on vehicle failure in the united states

MiniProj | Domain: Machine Learning & Data Science

web application for finding the best portfolio distribution for the total amount invested by investors in order to maximize their gains and minimize the risks.

Using rtweet, plotly and crosstalk to visualize tweets from Chilean latest presidential candidates

This Internship project involves transforming raw Google Play Store data into actionable insights via ETL, data analytics & visualization, using sentiment analysis, revenue-impact studies & category-wise tracking with Plotly & HTML.

This project applies RFM analysis to segment customers based on purchasing behavior. It combines data cleaning, EDA, and RFM scoring to identify key customer groups and support targeted marketing, retention, and growth strategies.