As a data scientist i have been lucky enough to be a part of highly critical and cutting edge solutions for pristine organizations like Intel , Indian Army etc. While each of them was an amazing experience in its own right , the challenges i faced and the knowledge i gained from making an Open Source Intelligence gathering and Analytics/Prediction tool for the Indian Army are unmatched . This experience showed me how powerful Open source data can be if it is used correctly .

An OSINT tool can have some powerful capabalities like :-

• Predict and estimate the location of an Twitter/Facebook user (who has disabled his location obviously!) through various metrics.
• Predict occurrence of certain events (eg. Riot's) based of information gathered from various Open Sources.
• Identify and Predict accounts of people who may be potential suspects (Security use Case) or potential Influencers (Commercial use case).
• Contextual analysis of words to derive relevant insights.

Open Source Data is however very challenging to work with for a vast array of reasons . This is the issue i aim to tackle with this talk , I will be going over 3 exciting projects which have been made using open source data through which i shall demonstrate various techniques to find / modify / model / and use machine learning techniques on the data. While going over the projects i shall also try to draw parallels so as to how you can use similar techniques in your own endeavours.