AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Key Strengths

Demonstrated interest in various data science domains through personal projects (e.g., deep learning for medical imaging, time series analysis, root cause analysis, classical machine learning algorithms).
Practical experience with core machine learning algorithms including Linear Regression, Logistic Regression, LDA, and Unsupervised Learning (Clustering).
Familiarity with Python and Jupyter Notebook for data analysis and model development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards self-directed learning and application of data science concepts, which aligns with a culture that values initiative. The diversity of projects (from deep learning to classical ML and utility tools) suggests adaptability and a broad interest in the field. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and broader cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's projects indicate an ability to work independently on technical challenges.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Shanmugasundaram M

Data Scientist

https://www.opentalent.in/shanmugasundaram-m

A data Science Enthusiast with a flair for lifelong learning !

Chennai, IndiaMember since June 12, 2026

https://www.opentalent.in/shanmugasundaram-m

Top Skills

Jupyter NotebookPython

Skills

Jupyter NotebookPython

Projects

Lung-disease-prediction-using-chest-xray-images

March 24, 2025 – October 27, 2024

Research based deep learning and trasnfer learning project regarding classification of multifaceted lung diseases.

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causality

August 25, 2021 – August 8, 2018

Package to perform Root-Cause Analysis on time series.

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Time-Series-Forecast

The data of different types of wine sales in the 20th century is to be analysed. Both of these data are from the same company but of different wines. As an analyst in the ABC Estate Wines, you are tasked to analyse and forecast Wine Sales in the 20th century.

J.A.R.V.I.S

December 19, 2020 – December 8, 2020

This is my first repository and I have created Jarvis (Just a rather very intelligent system). It is a personal voice assistant which helps me improve my work efficiency while creating any project or doing some other work on laptop

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Machine-Learning-1

December 14, 2020 – September 28, 2020

A Repository to give you a kick start in the field of Artificial Intelligence from basics to advanced topics

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Logistic-Regression-and-LDA

November 20, 2020 – September 22, 2020

You are hired by a tour and travel agency which deals in selling holiday packages. You are provided details of 872 employees of a company. Among these employees, some opted for the package and some didn't. You have to help the company in predicting whether an employee will opt for the package or not on the basis of the information given in the data set. Also, find out the important factors on the basis of which the company will focus on particular employees to sell their packages.

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Linear-Regression-Problem

November 20, 2020 – September 22, 2020

You are hired by a company Gem Stones co ltd, which is a cubic zirconia manufacturer. You are provided with the dataset containing the prices and other attributes of almost 27,000 cubic zirconia (which is an inexpensive diamond alternative with many of the same qualities as a diamond). The company is earning different profits on different prize slots. You have to help the company in predicting the price for the stone on the bases of the details given in the dataset so it can distinguish between higher profitable stones and lower profitable stones so as to have better profit share. Also, provide them with the best 5 attributes that are most important.

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Unsupervised-Learning-Clustering

October 9, 2020 – September 22, 2020

A leading bank wants to develop a customer segmentation to give promotional offers to its customers. They collected a sample that summarizes the activities of users during the past few months. You are given the task to identify the segments based on credit card usage.

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Key Strengths

Demonstrated interest in various data science domains through personal projects (e.g., deep learning for medical imaging, time series analysis, root cause analysis, classical machine learning algorithms).
Practical experience with core machine learning algorithms including Linear Regression, Logistic Regression, LDA, and Unsupervised Learning (Clustering).
Familiarity with Python and Jupyter Notebook for data analysis and model development.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's projects indicate an ability to work independently on technical challenges.