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Data Scientist is a Person who is better at statistics than any software engineer and better at software engineering than any statistician.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Deep_Learning_Case_Studies
January 16, 2023 – January 19, 2023
In this repository i saved all the deep Learning Case studies.
View ProjectDeep_Learning
December 20, 2022 – January 19, 2023
This Repository contains all the Important concepts in Deep Learning
View ProjectAdvanced_Machine_Learning
December 1, 2022 – December 19, 2022
This Repository contains Advanced concepts of machine learning and some deep learning concepts.
View ProjectMachine_Learning_Case_Studies
November 30, 2022 – December 23, 2022
This Repository have Case Studies i did in machine learning which will be helpful for you in understanding different EDA Techniques and Algorithms.
View ProjectMachine_Learning
November 30, 2022 – January 29, 2023
This Repository Contains the detailed implementation of machine learning models from scratch and use case implementations.
View ProjectData_Analysis_And_Visualisation
November 30, 2022 – November 30, 2022
This repository have the information about how to perform data analysis and visual analysis of the data.
View ProjectMaths_for_Datascience
November 29, 2022 – November 29, 2022
This Repository have the important mathematics concepts for a Data Scientist.
View ProjectMedical_Image_Captioning_on_Chest_X-Rays
October 3, 2022 – May 25, 2023
In this repository you will find a code for Image captioning of the medical X-Rays using attention encoder and decoder strategy.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, focusing on core Data Science and Machine Learning concepts. This indicates a strong interest and self-driven learning in the field, which aligns with a culture of continuous learning. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration or broader cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.