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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
leetcode
May 24, 2022 – September 25, 2022
Collection of LeetCode questions to ace the coding interview! - Created using [LeetHub](https://github.com/QasimWani/LeetHub)
View ProjectMovieRecommender
November 11, 2020 – November 30, 2020
MovieRecommender — GitHub repository
View ProjectDocument-maker-django
August 29, 2020 – September 19, 2020
django code for doc maker nimbus
View ProjectYoutube-India-Data-Analysis
August 12, 2020 – August 12, 2020
Data analysis of what trends in youtube India.
View ProjectAnime-Data-Analysis-and-Recommandation-System
July 31, 2020 – August 1, 2020
Analysis of data provided by myanimelist, user clustring and designing a appropriate recommandation system
View Projectauto-animeface-generation-using-DCGAN-pytorch
July 21, 2020 – July 21, 2020
Automatic animeface generation using DCGAN in pytorch
View ProjectAnime-Downloader
May 21, 2020 – July 22, 2020
Contains 2 scripts w/ multithreading for downloading anime from gogoanime using IDM.
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a strong personal interest in data science and machine learning, particularly in niche areas like anime data. This passion could align well with a team that values self-driven learning and exploration. However, the projects are all personal and lack details on collaboration or real-world impact, making it difficult to fully assess cultural fit in a professional team setting. The diversity of projects, while showing breadth in interest, also suggests a lack of deep focus on a single area, which might require more structured guidance in 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 completed psychometric or English tests to provide insights into communication or work attitude.