GradsKey Conference

on “Data Science”, Oct 2nd, 3rd, 4th
7pm to 8pm, Online.

Panel Judges

Vijay Agneeswaran

Director, Data Sciences,
Walmart Global Tech, Bangalore.

Akshay Agarwal

Research Professor,

Texas A&M University, Texas.

Rik Das

Assitant Professor,

Xavier Institute of Social Service, Ranchi.

Sumeha Kashyap

Deep Learning @ UMass Amherst,

University of Massachusetts, Amherst.

Sachin Sharma

Machine Learning Scientist,

Hike Messenger, New Delhi.

Vimal Meena

Machine Learning Scientist,

Qualcomm, Hyderabad.

Roopesh Mangal

Principal Data Scientist,

MakeMyTrip.

praveen.pankaj
Praveen Pankajakshan

VP Data Science & AI,

CropIn, Bangalore.

rkp
Ram Krishna Pandey

Research Scientist - Computer Vision,

General Electric, Bangalore.

rrr.cse
Rajalaxmi R.R.

Professor,

Kongu Engineering College, Erode.

Important Dates!

 

08th Sep 2020

Submission opens

 

26th Sep 2020

Last date of submission

 

28th Sep 2020

Selection notification

 

Show case your Work

B.Tech/M.Tech, B.S/M.S, Ph.D. Students and Professionals can submit their Data Science Projects, Hackathon, Papers, original works in any Engineering and Science Streams on the following topics:

Artificial Intelligence, Machine Learning models, Deep Learning.

Regression algorithms, Clustering,Dimensionality Reduction, Neural Networks,Reinforcement Learning.

Predictive Analytics.

Data Visualization.

Big Data.

Natural Language Processing.

Data Mining.

Computer Vision.

Speech Processing.

Other related topics are also Welcome

Key Takeaway ...

Show case your original work on Data Science (Projects, Hackathon, Presentations and your recent published works) in any Engineering and Science Streams and you will get the following benefits:
1. Verifiable Participation Certificate from GradsKey.
2. Vet your ideas before presenting to a formal conference or competition with GradsKey's expert panel of judges from reputed industries and academic institutions.
3. Gain GradsKey Points from panel judges and other experts in the data science skill community.
4. Get visibility and networking opportunities with corporate and academic experts in Data Science.

Format

1. Show case your work for 10 to 15 minutes

2. Judges review, Question & Answers Section: 10 to 15 minutes

3. Presentation Format (PPT, PDF, Demo)

4. Submission Format (Free Format, Text, PDF, PPT)