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Ph.D || IIT Gandhinagar||MTech IIEST Shibpur|| Neural Network || AI for Social Good using AI
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rsu.pvt.ltd
Data Scientist
June 16, 2026 – Present
SENTINELKILNDB_NeurIPS_2025
May 14, 2025 – October 16, 2025
SENTINELKILNDB_NeurIPS_2025 — GitHub repository
View ProjectSpace-to-Policy-jcss_2025
April 15, 2025 – April 15, 2025
Space-to-Policy-jcss_2025 — GitHub repository
View ProjectTime-Series-Super-Resolution
July 1, 2024 – July 3, 2024
Time-Series-Super-Resolution — GitHub repository
View Projectkdd24_brick_kilns
February 14, 2024 – April 17, 2024
kdd24_brick_kilns — GitHub repository
View ProjectVectorized-FNN-Performace_measure
January 18, 2022 – January 18, 2022
Feed Forward Neural Network with details on Backpropagation. Feed Forward Neural Network with backpropagation and vectorized FNN
View ProjectEvaluating-Shallow-and-Deep-Neural-Networks-for-Network-Intrusion-Detection-Systems-
April 15, 2020 – April 15, 2020
Intrusion detection system (IDS) has become an essential layer in all the latest ICT system due to an urge towards cyber safety in the day-to-day world. Reasons including uncertainty in finding the types of attacks and increased the complexity of advanced cyber attacks, IDS calls for the need of integration of Deep Neural Networks (DNNs). In this paper, DNNs have been utilized to predict the attacks on Network Intrusion Detection System (N-IDS). A DNN with 0.1 rate of learning is applied and is run for 1000 number of epochs and KDDCup-’99’ dataset has been used for training and benchmarking the network. For comparison purposes, the training is done on the same dataset with several other classical machine learning algorithms and DNN of layers ranging from 1 to 5. The results were compared and concluded that a DNN of 3 layers has superior performance over all the other classical machine learning algorithms.
View ProjectIndian-currency-detection-through-computer-vision
April 15, 2020 – April 15, 2020
ndian paper currency detection using opencv3 and python3
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest in research-oriented and complex data science problems, which could align well with an innovative and problem-solving culture. However, the lack of diverse project types or team-based work descriptions makes it difficult to fully assess cultural fit beyond technical alignment. The single listed professional experience is current, but no details are provided.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.