Kunal Saini
Frontend DeveloperPython Developer, Data Science, Analytics
Paytm
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Python Developer, Data Science, Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Paytm
Frontend Developer
June 16, 2026 – Present
creating_median_function
March 10, 2020 – March 10, 2020
Task was to calculate the median of numbers provided as inputs via CMD and to spit out the median of all those numbers.
View Projectlinear_regression
July 15, 2019 – July 15, 2019
plots a graph (slope or m) on the data provided
View Projectscraping_via_csv
July 15, 2019 – September 13, 2019
A csv need to be connected with a list of urls need to be scrapped
View Projectfetching_data_from_salesforce
July 15, 2019 – September 13, 2019
fetching_data_from_salesforce — GitHub repository
View Projecttwitter_sentiment_analysis
July 15, 2019 – July 15, 2019
twitter_sentiment_analysis — GitHub repository
View Projectcreating_venn_diagram
July 15, 2019 – August 1, 2019
creating_venn_diagram — GitHub repository
View ProjectCumulativeSumInHive
November 29, 2018 – November 29, 2018
Calculating Cumulative Sum in Hive
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and heavily focused on Python scripting, data analysis, and web scraping. While there is a current 'Frontend Developer' role listed, the project portfolio does not strongly align with typical frontend development skills (e.g., JavaScript frameworks, CSS, HTML beyond basic usage). This suggests a potential mismatch with a dedicated Frontend Developer role, though the Python skills could be transferable to full-stack or backend roles. The diversity of project types (data analysis, scraping, API interaction) indicates a broad interest in problem-solving.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.