Prasanna Kumar Thandhul

Data Scientist

https://talent.gravityer.com/prasanna-kumar-thandhul

A data enthusiast. Interested in deep learning.

Bengaluru, Karnataka, India

Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with Jupyter Notebook for data analysis and model development.
Exposure to various machine learning models including CNN, ANN, Logistic Regression, and XGBoost.
Familiarity with PyTorch for deep learning tasks.
Experience with R for statistical analysis and EDA.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong initiative in self-learning and project-based exploration, which aligns with a proactive and curious cultural fit. The diversity of projects, though all personal, indicates a willingness to explore different facets of data science. However, the lack of team-based projects or professional experience limits the assessment of collaboration and workplace cultural fit.

Soft Skills & Operational Fit

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

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

AML_LogReg_XGBoost_CV

August 12, 2019 – August 12, 2019

Dataset - Kaggle NTNU Dataset for Fraud Detection

View Project

ANN-CUSTOMER-CHURN

August 6, 2019 – August 6, 2019

ANN-CUSTOMER-CHURN — GitHub repository

View Project

Cluster-Analysis---TELCO

August 6, 2019 – August 6, 2019

Cluster-Analysis---TELCO — GitHub repository

View Project

Numpy-Implementation-of-NN

August 4, 2019 – August 7, 2019

Numpy-Implementation-of-NN — GitHub repository

View Project

MNISTCNN

August 4, 2019 – August 4, 2019

CNN using Pytorch

View Project

MNISTFFN

August 4, 2019 – August 4, 2019

Feed Forward Network

View Project

hypothesistest

July 19, 2019 – July 20, 2019

hypothesistest — GitHub repository

View Project

edabasic

July 19, 2019 – July 19, 2019

edabasic — GitHub repository

View Project

Graphseda

July 19, 2019 – July 19, 2019

Graphseda — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with Jupyter Notebook for data analysis and model development.
Exposure to various machine learning models including CNN, ANN, Logistic Regression, and XGBoost.
Familiarity with PyTorch for deep learning tasks.
Experience with R for statistical analysis and EDA.

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.

Prasanna Kumar Thandhul

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit