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Deep Learning | Computer Vision | MLOps
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-Solutions
January 7, 2020 – October 25, 2020
Solving leetcode questions one at a time. Star if found useful.
View ProjectMachine-Vision-Challenge
October 11, 2018 – October 12, 2018
Winning Solution of Machine Vision Challenge
View ProjectData-Analytics
February 2, 2018 – March 10, 2018
Analysis of different datasets and case studies.
View ProjectTwitterSearch
October 4, 2017 – October 5, 2017
A python script to scrape tweets for given keywords(multiple, space separated) within a given date range. You can also choose which browser driver you want to use. Cheers!
View ProjectKaggle-ML-Projects
August 20, 2017 – September 23, 2018
Mini Machine Learning Project for better understanding of data visualisation and machine learning algorithms. STAR IF YOU FOUND IT USEFUL.
View ProjectPython-Codes
January 23, 2017 – October 7, 2020
Collection of codes written in Python3. Give a Star if found helpful.
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards self-learning and practical application through numerous personal projects. The diversity of projects, ranging from data analysis to chatbots and web scraping, indicates a broad interest in different areas of technology, which could be a good fit for a dynamic environment. The target role of 'Data Scientist' aligns well with the candidate's project portfolio, particularly those related to ML and data analytics. However, the lack of team-based projects or professional experience makes it hard to fully assess cultural fit in a collaborative work setting.
Soft Skills & Operational Fit
The candidate's project descriptions are generally clear and concise, indicating good communication skills. The focus on personal projects suggests self-motivation and a proactive approach to learning. However, without psychometric test results, it's difficult to assess work attitude, stress handling, or team collaboration.