
Interested in Software Engineering username: @gunank-sood
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
PayU India
Data Scientist
June 20, 2026 – Present
Sparkify-ML_Pipeline
December 31, 2020 – December 31, 2020
A feature engineering pipeline and ML model using PySpark
View ProjectDisaster_Response_Pipeline
December 27, 2020 – December 27, 2020
Data and Machine Learning Pipeline for a project
View ProjectData-Science_blogpost
November 15, 2020 – November 21, 2020
https://medium.com/@gunanksood1222/mostly-used-programming-language-by-developers-in-india-3631ec567ce4
View ProjectImageClassifier-app
July 13, 2020 – July 18, 2020
ImageClassifier-app — GitHub repository
View ProjectDjango-celery-boilerplate
May 7, 2020 – September 13, 2022
This repo contains a simple django, celery and redis setup with celery beat and celery flower configured.
View ProjectDog-breed-Classifier
December 10, 2019 – November 15, 2020
This Project Contains a dog breed classifier based on Convolutional Neural Network and Transfer learning.
View ProjectWebScrapingWithPython
January 16, 2019 – January 16, 2019
This repository contains approaches to get data from a web page using webscraping in Python.
View ProjectSpark-SanFranciscoCrimeClassification
January 13, 2019 – January 13, 2019
Spark-SanFranciscoCrimeClassification — GitHub repository
View ProjectMessage_Spam_Detector
January 11, 2019 – January 11, 2019
Flask app Detects entered message is spam or not. Using Naive Bayes approach.
View ProjectC-Codes
December 31, 2016 – October 5, 2020
Any Data Structure and Algorithm Implementation in C Language.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in data science and machine learning. The current role as a Data Scientist at PayU India aligns well with the target role. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to fully assess collaborative cultural fit. The experience level is listed as 0, which contradicts the current employment, suggesting a potential data discrepancy or very recent entry into the role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on technical implementation.