× About Experience Projects
profile

Anshuman

IIT Kharagpur | Android | MEAN | Machine Learning | Competitive Coding

Hi! I'm Anshuman Agrawal.
I read. I click . I code.

profile

Wipro

May '17 - July '17

I interned here in Data Privacy Business Unit. I developed an online solution for organisations to assess their readiness for the GDPR regulations Here. I was also offered a pre-placement offer for my excellent performance!

profile

MyDhees

May '16 - Sep '16

I interned here as an Android and Backend Developer. I built applications (Client and Customer) for hotel booking and also their backend APIs using Node.js. I also led a team of two developers to successfully deliver the product.

profile

Cognitio

Dec '15 - Feb '16

Here I developed a smart quizzing android application for students from class 6th to 12th. The quiz is against the computer. Performance of computer varied with user performance. The app has over 4k downloads.

profile

BabyChakra

May '15 - July '15

This was my first internship. I worked as a Content Writer and Social Media Manager. I wrote the Wikipedia page for the startup. I also boosted the newsletter readership by over 200% using email writing strategies. I also did SEO related stuff using Google AdWords.

profile

Correlating tweets with actual info during disasters

Oct '17

This was my social computing term project. I collected data for disaster events to build a cross-domain classifier for situational and non-situational tweets. Achieved an accuracy of 80%

profile

Calculator for Alexa enabled devices

June '17

I did this as an independent project. This was a full fledged oral calculator for alexa devices. This gained huge number of downloads within a few months. It currently has 42K active users

profile

Quiz App for Classroom

May '17

This was also an independent project. I built a framework for a real time classroom quiz/survey for android devices. This runs on local hotspot making it easier to use in classrooms.

profile

Gesture Recognition for AR/VR Interface

Sept '16

I made this for my Machine Learning term project. I collected finger flexion data from several users on different devices. I then built multiple classifiers to investigate the utility of different algorithms like k-NN, SVM and Logistic Regression to achieve maximum accuracy for test data