Data Scientist @microsoft | Electrical Engineering, IIT Kanpur
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ML-crashcourse-exercises
May 26, 2021 – July 14, 2021
ML-crashcourse-exercises — GitHub repository
View ProjectReCAM
September 13, 2020 – December 17, 2020
CS779 Fall '20: Course Project, for SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning.
View ProjectSRATRC-Smart-Purchase-Web-App
June 13, 2019 – December 15, 2019
A smart purchase app to centralize and streamline the purchases and track inventory status/payment history for the NGO SRATRC, developed as a project for CSE@IITK Summer of Code 2019
View ProjectSRATRC-Smart-Purchase-Web-App
June 7, 2019 – January 4, 2023
A smart purchase app to centralize and streamline the purchases and track inventory status/payment history for the NGO SRATRC (Vitraag Vigyaan), developed as a project for CSE@IITK Summer of Code 2019
View Projectairhockey
April 30, 2019 – July 4, 2019
Computer Science Project made for AISSE, using Python and Pygame.
View Projectfair-rent-division
March 9, 2019 – June 22, 2019
Envy free, Fair Rent Division System for Hostel Rooms. This is a project made as a part of the Project Track in the course ESC101 offered in Spring 2019 at IIT Kanpur.
View ProjectCultural Fit Analysis
The candidate has a diverse set of personal projects, ranging from web development (JavaScript, HTML, CSS) to academic projects in Python and Jupyter Notebook. The 'Fair Rent Division System' and 'ReCAM' projects show an inclination towards problem-solving and academic research, which could align with a data scientist role requiring analytical thinking. However, the projects are primarily academic or personal, and there is no explicit professional experience. The breadth of skills is present, but depth in specific data science tools and methodologies is not clearly demonstrated beyond basic usage. The target role is 'Data Scientist', and while there are relevant technologies (Python, Jupyter Notebook) and ML-related projects, the overall project portfolio lacks advanced data science techniques, large-scale data handling, or deployment experience typically expected for a senior role. The candidate's experience level is listed as 0, which suggests this is an entry-level profile, not senior.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse personal projects and course-related assignments. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like logical reasoning, work attitude, stress handling, or team collaboration. The project 'SRATRC-Smart-Purchase-Web-App' for an NGO suggests a potential for contributing to practical solutions.