|Currently, I am employed as a Data Scientist at Deep Vision. I graduated from Carnegie Mellon University with a Master's in Computational Data Science. My main research interests are Multimodal Deep Learning and Multimodal Question Answering. Broadly my work is at the intersection of Deep Learning, Machine Learning, Natural Language Processing, Artificial Intelligence, Multi-modal learning Computer Vision, and Data Science (including Statistics). I want to solve problems that connect natural languages and computer vision using deep learning. I did my bachelors from National Institute of Technology (NIT), Hamirpur, India.|
Speaker, Embedded Deep Learning: Deep Learning for Embedded Systems, O’Reilly Artificial Intelligence, San Francisco, USA, 2017.
|Speaker, Atom smashing using machine learning at CERN, Strata + Hadoop World, San Jose, 2016. I gave a talk about my research at CERN, the European Organization for Nuclear Research.|
|Talk, Mozfest, London, 2015, by Team OpenCosmics.Git announcement by Mozilla.|
Invited to the Open Leadership Cohort, Working Open Workshop, Mozilla Science Lab, Berlin, Germany, 2016
Scholar, Grace Hopper Conference, Texas, USA, 2015
Winner, Best Innovative Outreach, CERN WebFest, Geneva, Switzerland, 2015
Winner, Grace Hopper Conference Hackathon, Bangalore, India, 2014
Finalist, New York University International Hackathon, Abu Dhabi, 2014
Women Ambassador, The Institution of Engineering and Technology, U.K. (IET), 2013-2014
Student Women Representative, Community Volunteers Conference, IET, Sri Lanka, 2013
Finalist, Nokia Do Good Hackathon, New Delhi, India, 2013
Ambuja Scholarship, NIT, 2011-2015
Apache Spark for Atom-Smashing experiments, June 9, 2016.
CERN seeks to predict new and popular data sets, March 22, 2016.
You can contact me on :
- Email: Its great having a unique name!
- You can email me on firstnamelastname[at]emailserviceprovider, gmail or yahoo.
- Twitter Handle: SiddhaGanju
- IRC nick : sidgan
- GPG Fingerprint: FCFC EF8E 95DE 42EC DE83 FA8C 6D18 0E5A DD42 E8B4
- Send me a postcard!
Check out my CV.