Meet Data Squad - Winners of Data Science Hackathon
Data Squad from NED University of Engineering and Technology won a 30-hour long ‘Data Science Hackathon’ organised at the Institute of Business Administration on Sunday.
It was the first event of its kind in Pakistan in which 28 teams comprising over 100 students from 12 universities across Pakistan competed to promote the use of machine learning to bring social innovation.
The students got a hands-on experience with real-life data provided by Husaini Blood Bank which partnered in the hackathon. The winning team was awarded an amount of Rs 100,000 along with a paid internship for one of the team members at the headquarter of Inqline, the event’s sponsor, in New York city.
Nuzhat Sana - Won Testing Competition in Women Tech Quest held at 10pearls
The Testing Competition presented contestants with a set of objectives to test their database and automation concepts, challenging their technical skills to refine requirements and identify problem areas in applications. It is a mix of test case writing, UI/UX testing, database testing, and API testing.
Huzaifa - Runner-up of RoboRace in PROCOM'19 held at FAST-NUCES
The objective of this competition is to make a robot to follow a black path on a white background, without losing the path and navigating several turns. The robot to complete the course in the shortest period of time while accurately tracking the course line from start to finish wins.
Misha Wasim, Shajeeha and Hafsa - Won Code Jam Competition held at 10Pearls
Immersive Reality Code Jam was a three week Hackathon by 10 Pearls where the participants have to present their idea and it's prototype on AR/VR technology. There were 20+ teams whose ideas were chosen from hundreds of registrations. The winning team won cash prize of Rs. 25,000.
Sachin Karmani, Hamza Ali and Junaid - Runners-up of Data Science Competition in ZAB E-Fest held at SZABIST
There were about 20 teams. The main task was to design a neural network without using any deep learning frameworks and optimize it's performance using Genetic Algorithm. Along with that there were three other tasks of classfication and regression models. The tasks were to be completed in 1 hour and 30 minutes time slot. These students as a team acquired 2nd position.