
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Reddit-Flair-Detector
July 22, 2019 – February 18, 2025
Reddit-Flair-Detector — GitHub repository
View ProjectRank1_IMAGE_COMPETETION_ANALYTICSCOSM
July 17, 2019 – September 19, 2019
This is a Image classification task.This competition will require you to collect data from social media and classify images as shareable and non-shareable. Each image comes with a lot of inherent attributes like the color, content, subject, context, message etc. These are subjective qualities and you need to assign meaning to these attributes through your model. There are plenty of variables you can derive based on above. Your task will be to develop an algorithm that can classify images into shareable and non-shareable based on above tasks. Keep in mind- whether an image is shareable is completely a subjective decision and your model can only be correct, say 90% of the time.
View ProjectImage-Classsification-Based-on-Image-Attributes---Analyticscosm-1
July 17, 2019 – July 20, 2019
Image Classsification Based on Image Attributes - Analyticscosm
View ProjectML-Data-Science-and-the-trendy-tech
June 12, 2019 – July 6, 2025
ML-Data-Science-and-the-trendy-tech — GitHub repository
View ProjectCapstone_Applied-Data-Science
May 25, 2019 – May 30, 2019
Capstone_Applied-Data-Science — GitHub repository
View ProjectCultural Fit Analysis
The candidate's personal projects show initiative and a self-driven learning approach, which can be a positive cultural fit. The diversity of projects, including some web development, indicates a broad interest, but also a potential lack of deep specialization in Data Science. The target role is 'Data Scientist', and while projects align, the depth of experience is not clear from the descriptions alone.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.