
Automation Engineer @bigbinary || Personal R&D || IIIT-Bbsr 2024
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
neeto-desk-playwright-automation-by-deepanshu-rajput
May 5, 2024 – May 10, 2024
neeto-desk-playwright-automation-by-deepanshu-rajput — GitHub repository
View Projectneeto-planner-playwright-tests
April 22, 2024 – May 2, 2024
neeto-planner-playwright-tests — GitHub repository
View Projectneeto-planner-playwright-tests-by-sruti
April 22, 2024 – April 30, 2024
neeto-planner-playwright-tests-by-sruti — GitHub repository
View Projectgranite-for-playwright
November 29, 2023 – Present
A simple ToDo project for practicing Playwright.
View Projectautomate-whatsapp
December 14, 2021 – Present
This project is simply a prototype of chat bot of Whatsapp, which we have to invoke by sending "join-environment-hide" to the Twilio---------and then it will give options which action you want to do. Although this can be used for business purposes too but currently I made it just for my personal information like it will give you some options and you have to select any of these. Moreover it also gives me track of visitors on MongoDB whoever sends the requests.
View ProjectCultural Fit Analysis
The candidate has a diverse set of personal projects, indicating a proactive and self-driven learning approach. The variety of technologies used (Python, Dart, JavaScript, Ruby, C++, TypeScript) suggests adaptability and a willingness to explore different domains. The projects are primarily personal, which is common for candidates with limited professional experience. Alignment with a 'Mobile Developer' role is present through Dart projects, but a deeper focus on mobile-specific frameworks and design patterns would strengthen the fit.
Soft Skills & Operational Fit
The candidate's project descriptions are generally brief, making it difficult to assess soft skills or operational fit. The 'automate-whatsapp' project description shows some initiative in problem-solving and understanding user interaction, but overall clarity and detail are limited.