Rohit Prasan Mandal

Data Scientist

https://talent.gravityer.com/rohit-prasan-mandal

Building scalable AI systems | Applied ML & AI educator

Member since June 22, 2026

Key Strengths

Demonstrated interest in Machine Learning and AI through personal projects like VAE-Alzheimer-Detection and Breast-Cancer-Prediction.
Proficiency in Python and Jupyter Notebook, essential tools for Data Scientists.
Experience with various ML algorithms (XGBoost, Random Forest, KNN, SVM, Decision Tree) and concepts like transfer learning and imbalanced datasets.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic in nature, focusing on individual contributions. While demonstrating technical interest, there is no explicit evidence of team collaboration or diverse project types that would indicate strong cultural fit for a collaborative professional environment. The projects align with a Data Scientist role, but the breadth of experience outside of personal ML projects is limited.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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Projects

ChatGPT-Python-Applications

April 13, 2023 – Present

ChatGPT Python Applications integrated with third party libraries and modules

View Project

Soil-moisture-prediction-on-images-usingTransfer-Learning

November 28, 2021 – November 28, 2021

With transfer learning approach on imbalanced dataset we've achieved 81% accuracy @Inceptionv3

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VAE-Alzheimer-Detection-Using-Imbalanced-MRI-Images

October 25, 2021 – December 22, 2021

Variational Autoencoder based Imbalanced Alzheimer detection using Brain MRI Images

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Breast-Cancer-Prediction-A-Machine-Learning-Approach

October 24, 2021 – November 27, 2021

This proposed projec presents a comparison of six machine learning algorithms: XGBoost Classifier, Random Forest, KNN Classifier, Logistic Regression, SVM Classification, Decision Tree. Our research led to 94.96% accuracy.

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matlab-for-machine-leaning

June 23, 2021 – June 29, 2021

Rigorous Tutorial on MATLAB for Machine Learning + Projects: 2 hour course @mathworks イ

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BezierDesmosGraphing

May 5, 2021 – May 5, 2021

Plotting image/video in Desmos Graphing Calculators using Bézier Curve Locally

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Code-in-Place-2021-Assignment-Solution

April 21, 2021 – May 17, 2021

Code in Place 2021 Assignment Solution. Weekly updates!

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xiaowuc2

August 14, 2020 – Present

xiaowuc2

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Project-Euler-Solution-Basics

May 27, 2020 – June 1, 2020

https://projecteuler.net/archives | there are many competitive coding question is available, I'll share my solutions in this repository.

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Virtual-Assistant-Individual-task

April 19, 2020 – August 13, 2020

Virtual assistant with common sense and can fake its thinking capacity.

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Key Strengths

Demonstrated interest in Machine Learning and AI through personal projects like VAE-Alzheimer-Detection and Breast-Cancer-Prediction.
Proficiency in Python and Jupyter Notebook, essential tools for Data Scientists.
Experience with various ML algorithms (XGBoost, Random Forest, KNN, SVM, Decision Tree) and concepts like transfer learning and imbalanced datasets.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Rohit Prasan Mandal

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit