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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
E-Pradarshini
September 6, 2021 – March 15, 2022
Backend written in Django for the E-Pradarshini portal to showcase projects
View ProjectMeeting-Planner-Django
June 17, 2021 – June 17, 2021
Meeting-Planner-Django — GitHub repository
View ProjectAI-Model-for-Epidemiology-of-Tuberculosis
March 4, 2021 – May 17, 2021
AI model to predict the time and location of probable future TB epidemics.
View ProjectHacktoberfest2020
October 2, 2020 – October 31, 2020
A guide to help you contribute to Hacktoberfest 2020 and to get you started towards Open Source Contribution. Thank you all those who sent prs to this repo for you participation. This repository is now archived.
View ProjectHacktoberFest2020-Contributions
September 30, 2020 – February 8, 2022
A beginner-friendly project to help you in open-source contributions. Made specifically for contributions in HACKTOBERFEST 2020! Hello World Programs and Algorithms! Please leave a star ⭐ to support this project! ✨
View ProjectCultural Fit Analysis
The candidate's project history shows a strong inclination towards personal projects and open-source contributions, indicating self-motivation and a willingness to learn. The diversity of projects, from web development (Django, HTML/CSS/JS) to basic algorithms and an AI model, suggests a broad interest in technology. However, the depth of experience in each area, particularly in data science, is not clearly demonstrated. The target role is Data Scientist, and while there is one AI-related project, the majority are general programming or web development, which may not align perfectly with a senior Data Scientist role's specific requirements.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's projects indicate an interest in open-source contributions (HacktoberFest2020-Contributions, Hacktoberfest2020) which might suggest a collaborative mindset, but this is not explicitly evaluated.