PHD CSE IITD , x-RA@IIT Roorkee
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Indian Institute of Technology
Data Scientist
June 19, 2026 – Present
AlexNet
September 15, 2022 – September 15, 2022
AlexNet is the name of a convolutional neural network (CNN) architecture, designed by Alex Krizhevsky in collaboration with Ilya Sutskever and Geoffrey Hinton, who was Krizhevsky's Ph.D. advisor.
View ProjectSVM-Support-Vector-Machine-
August 14, 2022 – August 14, 2022
Machine learning is an application of artificial intelligence, which allows the computer to operate in a self-learning mode, without being explicitly programmed. It is a very interesting and complex topic, which could drive the future of technology.
View ProjectYOLO-V3
August 4, 2022 – December 1, 2022
View ProjectEfficientNet-B0-to-B7
July 29, 2022 – July 29, 2022
https://miro.medium.com/max/1324/0*09AED_CjE-PUFxKC.png
View ProjectIdentification-of-Flood-Extents-using-Synthetic-Aperture-Radar-images
July 14, 2022 – July 14, 2022
• Synthetic Aperture Radar (SAR) is an all-weather, day-and-night satellite observation technique to observe the earth’s surface processes as shown in Figure 1. • Flood is considered to be one of the major disasters causing huge losses to life and property across the globe. In particular, floods occur in different parts of India every year during the monsoon season. • Our motivation in this work is to use SAR to identify flood extents and to assist in emergency response operations. SAR is a useful tool for flood detection as it is operational during cloud cover and rainfall to give information on flood extents
View ProjectResNet50-fully-trained-and-implemeted
July 1, 2022 – July 1, 2022
Transfer Learning With Keras(Resnet-50)
View ProjectMachine-Learing
March 4, 2022 – March 4, 2022
This is where my machine learning journey begins.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, indicating a strong self-driven learning approach in data science. The diversity of deep learning models explored suggests a curiosity for different architectures. However, the lack of team-based projects or detailed descriptions makes it difficult to fully assess cultural fit, especially regarding collaboration and broader impact.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief and do not provide insights into collaboration, problem-solving approaches, or communication style.