AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
BlockTraceFeatures
June 17, 2022 – July 14, 2023
This repository contains features of various publicly available block traces. The goal is to collect a set of features that can be useful for ML.
View ProjectSoftware-Engineering
August 10, 2018 – November 23, 2018
Softwware Engineering course Assignments
View ProjectImplementation-of-LSTM-using-Keras
July 10, 2017 – July 10, 2017
Python Code to Implement LSTM RNN on Indian Names dataset
View ProjectImplementation-of-Back-Propagation-Algorithm
June 16, 2017 – June 25, 2017
Implementation of Back Propagation Algorithm for a Neural Network. The Neural Network is used to classify the types of wheat seeds in the dataset.
View ProjectImplementation-of-Priority-Queue-and-Stack
June 13, 2017 – June 13, 2017
Java Implementation of Priority Queue and Stack Data Structures
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal learning and exploration in AI/ML, which aligns with a culture of continuous improvement. The diversity of projects, from core algorithms to application development, suggests adaptability. However, without team-based project experience or psychometric data, a comprehensive cultural fit assessment is not possible.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.