Student
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Placement_preprations
March 29, 2019 – September 10, 2020
my preparatons for campus pacements
View ProjectMachine-learning
February 18, 2019 – February 19, 2019
This repositry contains my work on data science and ml
View ProjectData-structure-cpp
January 24, 2019 – January 24, 2019
This repository contains of data structures programs in cpp
View Projectcpp_programs
January 17, 2019 – January 23, 2019
This repository contains of cpp programs for practise
View ProjectIris_flower_classification-Data-Science
January 13, 2019 – January 13, 2019
This Repository contains a project on classification of Iris Flower Dataset presented by Dr. Fisher , Basicaaly Iris flower has 3 families namely, setosa, virginica, versicolor, At the end of the project we will be able to recognise the family of the flower by just entering its sepal and petal length and width
View Projectdata_structures-Python
January 13, 2019 – January 13, 2019
This repository contains codes in python's data structure
View Projectpatterns-basic
January 11, 2019 – February 13, 2019
This contains of different basic patterns coded in cpp and Python. this could help if you're preparing for placements as a fresher
View Projectlearning_curve
January 11, 2019 – February 3, 2019
This contains of the programmes i am attempting while learning python
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a focus on personal learning and foundational programming, with some exploration into data science. The projects are primarily academic or practice-oriented, which suggests a learning-driven individual. However, the lack of team projects or detailed descriptions makes it difficult to assess collaboration or alignment with a dynamic team environment. The breadth of skills (C++, Python, R, JavaScript, HTML, CSS) indicates a willingness to explore different areas, but depth in any specific area for a senior role is not evident.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication, teamwork, or problem-solving approaches.