Arnav Anand

I am an:

Machine and Deep Learning researcher
Aspiring Data Scientist
Android Application Developer

My passion for AI and developing real time applications along with coding drives me to do what I am doing. The most Complex Project I ever worked on is based on
Automated License Place Detection in Python as part of my winter internship using Deep Learning and Neural Networks along with Machine Learning. I have also built many native android apps in java like the most complex app was a travel based Android application called Place to Place which works on both the ends of a driver as well as the customer.

Projects

DIET-CART

Project made keeping healthcare in mind for customers so that fresh fruits and vegetables reach directly from the farmers. The main idea is to ensure more income for farmers with consistent demand.Firebase, Java, XML

DIGI LIFE

Life is easy with ARAR

Skills

Machine Learning

Deep Learning

Data Science

Computer Vision

Android Development

Experience

DRDO - Machine Learning Intern
June 2019 - July 2019
Worked on a Machine Learning project based on Natural Language Processing, Text Mining and Sentiment Analysis. This project generates an opinion based on any topic trending worldwide with the help of twitter data & the opinion is generated based on live reactions/tweets people currently have regarding that subject.
Parkzap - Deep Learning Intern
October 2019 - January 2020
Currently Working as a deep learning Intern at Parkzap which is an incubated StartUp under the govt. 10000 StartUps Initiative by NASSCOM. Working on Data pipelines and Computer Vision related areas using Nvidia hardwares like dGPU and jetson nano .
Microsoft - Student Partner
From September 2019 to September 2020.
- Host events, workshops and hackathons about Microsoft technologies like Azure, Sway etc. on campus.
- Build and grow a community of students on-campus and online.
- To acquire tools and trainings to lead technology discussions on campus.
- To inform students about student benefits like Azure credits.
- To work closely with Microsoft and other MSPs and build networks.
TensorFlow - Student Mentor
December 2019 - January 2020
Google Code In was a contest that introduced pre-university students (ages 13-17) to open source software development. It was held for 10 years starting in Nov 2010 until Jan 2020. Google chose over 25 open source orgs. to participate.
- These organizations created a large & diverse list of tasks for students. The students worked on these tasks, getting guidance from mentors.
- I mentored the students as a part of TensorFlow organisation.