Nishanth Muruganantham
Data ScientistIDP Digital Campus
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
IDP Digital Campus
Data Scientist
June 20, 2026 – Present
nishanthm-blogs
March 2, 2026 – Present
Technical blog documenting engineering challenges and solutions in Python, Django, React, and Android. Built with Astro & MDX.
View Projectdynamic-formula-execution-api
September 6, 2024 – September 14, 2024
A FastAPI-based API for evaluating dynamic mathematical expressions on datasets. It is developed for a coding Challenge conducted by 'doselect', a collaborative and technology independent hiring tool for companies, for Cognida.ai
View Projectkaggle-data-pipeline-with-aws
August 4, 2024 – Present
Automated serverless pipeline for extracting, processing, and publishing Men’s T20 International (T20I) cricket data to Kaggle. Built with AWS Lambda, EventBridge, MongoDB Atlas, and S3, it delivers fresh, validated datasets updated weekly—complete with real-time Telegram notifications for seamless monitoring.
View Projectpoints-table-simulator
February 21, 2024 – May 19, 2024
This package will simulate the points table based on different possible results in a sports tournament and generate the favorable outcomes needed to make your favorite team to be placed at your expected position in the points table
View Projectfootball-player-wages-eda
January 30, 2024 – February 7, 2024
This repository uses Python for analyzing football player data, focusing on various aspects such as player positions, league distributions, wages, and the relationship between player age and appearances. It includes visualizations generated using Plotly to provide insights into the dynamics of football player demographics and performance.
View Projectduckworth-lewis-score-calculator
June 3, 2023 – Present
The Duckworth-Lewis-Stern (DLS) Method Par Score Calculator is a Django website designed to calculate the revised target score for cricket matches affected by rain or interruptions. The DLS Method is a mathematical formula used to adjust the target score based on the number of overs played, wickets lost, and available resources.
View Projectregelleistung-data-scrapping
October 12, 2021 – October 14, 2021
regelleistung-data-scrapping — GitHub repository
View Projectnews-website
June 11, 2021 – February 23, 2023
This is a simple news website created using Flask. The website fetches the latest news articles from the NDTV API and displays them on the homepage. The project is hosted on Vercel, a cloud platform for serverless deployment
View Projectndtv-api
May 18, 2021 – April 9, 2023
This API will scrap the news content present in the NDTV website will provide the data in a JSON format.
View ProjectCultural Fit Analysis
The candidate's portfolio shows a strong interest in data science, particularly within sports analytics (cricket). The projects demonstrate initiative and a willingness to explore various technologies (Python, AWS, web frameworks). This aligns well with a target role requiring self-starters and those passionate about data-driven solutions. The diversity of projects, from data pipelines to web scraping and analytical tools, suggests adaptability and a broad technical curiosity.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on self-directed projects and a focus on practical problem-solving. However, without psychometric test results or interview data, it is difficult to assess soft skills like teamwork, communication, or stress handling.