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Shri Ramdeobaba College of Engineering and Management
Data Scientist
June 16, 2026 – Present
Entrata_Assessments-SDET
June 19, 2025 – June 19, 2025
This framework uses Selenium WebDriver, TestNG, Log4j, and Extent Reports to automate Entrata Web-application testing. It follows the Page Object Model (POM)
View ProjectNotes-
August 1, 2022 – August 1, 2022
Contain different types of notes share on LinkedIn
View ProjectLove-babber-450
February 17, 2022 – February 17, 2022
Solution of the problems listed in DSA cracker sheet made by Love Babbar, with resources and some notes.
View ProjectGitHub-Serach-User
January 26, 2022 – January 4, 2023
GitHub-Serach-User — GitHub repository
View ProjectStudy-Material-khaz-n-
October 14, 2021 – September 8, 2024
This is a repository entirely dedicated to all kinds of study material for any 11,12 and Engineering and apart from this all the questions ranging from basic DSA to CP.
View ProjectMohi-Todo-List
July 12, 2021 – July 12, 2021
A simple website To make a list of your daily work so that you can keep note on which task you have done and note. And also we can see which task is completed and which is not as we have different option as ALL, Completed and Uncompleted.
View ProjectZomato_Like_Page
June 14, 2021 – June 15, 2021
Here we have made a Zomato like landing page using HTML and CSS.
View ProjectDictionary_App
January 20, 2021 – October 9, 2022
A basic python GUI dictionary to search word meaning easily.Built by Mohit Chandak
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, indicating a strong self-learning drive. However, the diversity of projects is somewhat limited, and the alignment with a senior Data Scientist role is not strong given the current project scope. The candidate's listed experience as 'Data Scientist' is current but starts in 2026, suggesting it's a future role or an error in the data, making it difficult to assess current cultural fit for a professional role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no psychometric or English test results to draw conclusions from.