Subhajeet Mishra

Software Engineer

https://talent.gravityer.com/subhajeet-mishra

Senior Data Scientist

Bengaluru, Karnataka, India

Key Strengths

Demonstrated interest in machine learning and data science concepts through personal projects (e.g., PCA, SVD, Naive Bayes, PageRank).
Proficiency in Python for implementing algorithms and data manipulation.
Experience with fundamental machine learning algorithms implemented from scratch.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and focused on academic/theoretical machine learning implementations. While this shows initiative, there is limited diversity in project types (e.g., no collaborative team projects, no full-stack development, no system design projects). This might indicate a fit for research-oriented roles but less so for typical software engineering roles requiring broader collaboration and system building.

Soft Skills & Operational Fit

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

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Projects

244-one.github.io

January 23, 2022 – January 23, 2022

244-one.github.io — GitHub repository

View Project

leaderClustering

May 14, 2021 – May 14, 2021

Implementation for Leader CLustering

View Project

ml-lib

August 23, 2020 – June 1, 2025

ml-lib — GitHub repository

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sjeet-lab

August 14, 2020 – May 10, 2023

sjeet-lab — GitHub repository

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soft_computing

July 27, 2018 – August 5, 2018

Choose between triangular and trapezoidal membership functions and get output based on input arrays.

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naive_bayes_classifier

July 27, 2018 – July 27, 2018

It will take a data frame, split ratio and decision column as input. Then it will break the actual data frame into test and train sets. It will then predict the decision column for test data set. Also it will find the error.

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SVD

April 23, 2018 – July 27, 2018

A data set is decomposed into 3 parts by SVD and error is plot at end.

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giant-component

April 23, 2018 – July 27, 2018

Here number of nodes is provided to the function. The function will then create a random graph with optimal condition to find a giant component and give output as giant component. The second function shows the transition of giant component.

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page-rank

April 23, 2018 – July 27, 2018

Data set of wiki-votes is converted to a graph and the graph is given as input in the function to yield pagerank.

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pcamodule

April 11, 2018 – July 27, 2018

Implementation of PCA from scratch starting from data cleaning to output plot.

View Project

Key Strengths

Demonstrated interest in machine learning and data science concepts through personal projects (e.g., PCA, SVD, Naive Bayes, PageRank).
Proficiency in Python for implementing algorithms and data manipulation.
Experience with fundamental machine learning algorithms implemented from scratch.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Subhajeet Mishra

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit