The project analyses and visualises global terrorist attacks over the time frame of 1970 to 2019. Points out and analyses trends of over 2,00,000 terror attacks, their attackers and studies various other features

Global Terrorism Catalogue Explorer

The Global Terrorism Database (GTD) is an open-source database including information on terrorist attacks around the world from 1970 through 2017. The GTD includes systematic data on domestic as well as international terrorist incidents that have occurred during this time period and now includes more than 180,000 attacks. The database is maintai…

Stanford's Militant Map in Neo4j

Targeted Individuals of Russia :: Psyterror of "Psyops" (in russia: stupid gov mil.tech)

Data Analysis Projects

Data wrangling and Visualization in R

Global Terrorism Analysis dashboard created in power bi to analysis terrorist activities around the worldt

📄 Investigating terrorism data, mass shooting records and related information.

Power BI Dashboards and Power Point Presentations

The spark Foundation Internship-GRIP MAR21

Statistically Analyzing Global Terror Attacks by Year

This repository deals with exploring global terrorism trends analyzing the Global Terrorism Database to uncover temporal patterns, identify top terrorist groups, examine attack types, and gain insights into geographical and success/failure dynamics.

Global Terrorism Data Analysis consists information that includes terrorist attacks around the world from 1970 through 2017. As a Security/ Defense Analyst, the main objective of the project is to find out hot zone of terrorism, security issues and key insights through Exploratory Data Analysis.

An insightful exploration of the dataset from the Global Terrorism Dataset. This project was part of the internship with The Sparks Foundation.

This project delves into a comprehensive exploration of terrorism worldwide, drawing critical insights from extensive data analysis. This study unravels the some key findings that shape our understanding of global terrorism dynamics.

In this repository we will develop in Streamlit a Webapp to explore the Global Terrorism Database and predict the success of the attack using a machine learning classification algorithm.

Terrorism Analytic

Dataset relating to terrorism in burkina

The Sparks foundation is nonprofit organisation where i worked as Data Science and Bussiness Analytics intern .