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Networth Corp
Data Scientist
June 25, 2026 – Present
Nightingale-Charts-Plotter
June 29, 2021 – October 19, 2024
Make Percentile Nightingale-Charts / Pizza-Charts with a few clicks.
View ProjectSoccermatics-With-Python
March 16, 2021 – April 7, 2021
Mathematical modelling of football using Python.
View ProjectMy-Data-Visualization-Work
February 17, 2021 – September 16, 2023
This repository contains all my recent data visualization work.
View ProjectxG-Model
August 6, 2020 – December 9, 2020
xG Model predicts the probability of scoring goals from different points on the pitch.
View Projectsoccerplots
July 31, 2020 – April 29, 2021
A Python package for data visualisation for football analytics.
View ProjectFootball-Analytics-With-Python
April 14, 2020 – July 24, 2023
A repository for football analytics
View ProjectFooty-Events
February 23, 2020 – July 14, 2020
A Python program that scrapes football fixtures from a website and add those events in your google calendar.
View ProjectCoding-Problems
February 9, 2020 – June 25, 2020
This repository contains coding problems and their solutions.
View ProjectLa_Liga_2018_19
August 18, 2019 – October 30, 2019
Using Exploratory Data Analysis(EDA), analyzing pattern in data for La Liga season 2018-19 and trying to understand various aspects that went throughout the season.
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated on football analytics, which indicates a strong passion for a specific domain. While this can be a strength, it also suggests a potentially narrow focus. The diversity of projects outside this niche is limited, which might impact adaptability to broader data science challenges. The candidate's current role as 'Data Scientist' at 'Networth Corp' aligns with the target role, but without details on responsibilities or company domain, it's difficult to fully assess cultural fit beyond the project focus.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.