Interested in Software Engineering username: @gunank-sood
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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.