PhD student in Brain and Cognitive Science at University of Rochester
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Assessing your cultural and operational fit
Tutorial-GLMM
October 25, 2020 – October 6, 2024
This refresher tutorial illustrates the relation between the linear model (LM), generalized linear models (GLM), and generalized linear mixed/multilevel models (GLMMs).
View ProjectNIPS-Adversarial-Competition-2018
November 16, 2018 – November 16, 2018
Our submission to the NIPS Adversarial Competition 2018 (Targeted Attack)
View ProjectStreamMiner
August 23, 2018 – December 8, 2022
Computational Fact-Checking Algorithm on Knowledge Graphs
View Projectpcatxcore
June 27, 2018 – December 8, 2022
Praedicat's project with IPAM, UCLA under RIPS 2018 to develop automated statistical models for InsurTech
View ProjectVisual-Perception-and-the-Brain
June 13, 2018 – September 11, 2018
My submission and notes for the coursera course, Visual Peception and the Brain, under Dr. Dale Purves
View ProjectBlind-Navigation-System
March 8, 2018 – March 8, 2018
Blind Navigation based on Stereo Vision and Computer Vision Obstacle Detection (Smart India Hackathon'17)
View ProjectTata-Smart-Grid-Hackathon-2017
March 8, 2018 – March 8, 2018
Android Application for Smart Grid, which dynamically analyzes electricity prices and predicts fututre electricity costs.
View ProjectMachine-Learning-Basics-Advance
October 1, 2017 – October 1, 2017
A repository for machine learning algorithms implemented in python
View ProjectCoding-Data-Structures-and-Algorithms
July 29, 2017 – August 8, 2017
Implementing various algorithms and data structures in C++
View ProjectAI-to-News-in-Shorts
June 26, 2017 – March 26, 2018
Profile Personalization using NLP + Chrome Extension (Web Technology Lab, DTU)
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards academic and competition-based projects, indicating a drive for learning and problem-solving. However, the lack of professional experience or team-based projects makes it difficult to assess collaboration and cultural alignment in a corporate setting. The projects are diverse in topics within AI/ML, suggesting adaptability.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.