Kanav Bansal
Data ScientistIndiaMember since June 16, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
GenAI-AgenticAI-From-Zero-to-Production
June 22, 2024 – Present
Learn GenAI and Agentic AI from Zero to Production
View ProjectMachine-Learning-Scratch-2-Advance-By-ThatAIGuy
June 1, 2024 – Present
Machine-Learning-Scratch-2-Advance-By-ThatAIGuy — GitHub repository
View ProjectAWS-Deployment-Tutorial-for-Flask-App
February 26, 2024 – February 26, 2024
AWS Deplotment Tutorial for Flask App
View ProjectModel-Building-Pipeline-Tutorial
November 22, 2023 – November 23, 2023
Model-Building-Pipeline-Tutorial — GitHub repository
View ProjectSOLVING_200_LEETCODE_QUESTIONS
July 18, 2020 – October 4, 2023
SOLVING_200_LEETCODE_QUESTIONS — GitHub repository
View ProjectUltimate-Data-Science-Toolkit---From-Python-Basics-to-GenerativeAI
April 3, 2020 – Present
Ultimate-Data-Science-Toolkit---From-Python-Basics-to-GenerativeAI — GitHub repository
View ProjectAmazon_fine_food_review
September 9, 2017 – November 1, 2017
The Amazon Fine Food Reviews dataset consists of 568,454 food reviews. This dataset consists of a single CSV file, Reviews.csv
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards self-learning and exploring new technologies, particularly in AI and ML, which aligns with a culture of continuous improvement. The diversity of personal projects, including competitive programming (LeetCode), suggests a proactive and challenge-oriented mindset. However, the lack of team-based projects or detailed descriptions makes it difficult to fully assess collaboration and broader cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily consists of personal project repositories without detailed descriptions of collaboration, problem-solving approaches, or communication.