Nafisur Rahman

Data Scientist

https://talent.gravityer.com/nafisur-rahman

My primary work interests are into applications of machine learning in areas like computer vision, NLP etc. I hold an M.Tech degree from NIT Calicut.

InfoDesk

Key Strengths

Demonstrated interest in various Data Science domains through personal projects (e.g., NLP, Recommender Systems, Anomaly Detection, Churn Prediction).
Experience with core Data Science tools like Jupyter Notebook and Python.
Exposure to Kaggle challenges indicates a proactive learning approach and problem-solving interest.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong focus on personal learning and exploration within Data Science. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to assess collaboration and broader cultural fit. The single listed professional experience is current and has no start date, making it difficult to assess its impact or duration. The experience level is listed as 0, which contradicts the 'Data Scientist' role at InfoDesk, suggesting a potential discrepancy or very recent entry into the role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

GenAI-Specialization

October 24, 2024 – October 24, 2024

Artificial Intelligence at Purdue University

View Project

python-flask-CICD-heroku

September 5, 2020 – September 14, 2020

Example to check github action

View Project

Dog-Breed-Identification-with-Keras

May 9, 2019 – May 9, 2019

https://www.kaggle.com/c/dog-breed-identification

View Project

Anomaly-Detection

May 9, 2019 – May 9, 2019

Semi-Supervised Anomaly Detection

View Project

Recommender-System

May 9, 2019 – May 9, 2019

Recommender-System — GitHub repository

View Project

Santander-Value-Prediction-Challenge

May 9, 2019 – May 9, 2019

Santander Value Prediction Challenge on Kaggle

View Project

Customer_Segmentation

January 30, 2018 – May 9, 2019

Customer segmentation analysis for a Mall membership customers

View Project

Churn_Prediction_Analysis

January 30, 2018 – January 30, 2018

Churn prediction analysis for a bank customer

View Project

NLP_Text_Summarization

January 30, 2018 – January 30, 2018

Basic preprocessing task in NLP and ruled based auto text summarization

View Project

NLP_Sentiment_Analysis

January 30, 2018 – January 31, 2018

Sentiment analysis on IMDB movie reviews

View Project

Key Strengths

Demonstrated interest in various Data Science domains through personal projects (e.g., NLP, Recommender Systems, Anomaly Detection, Churn Prediction).
Experience with core Data Science tools like Jupyter Notebook and Python.
Exposure to Kaggle challenges indicates a proactive learning approach and problem-solving interest.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

Nafisur Rahman

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit