Neh Majmudar

Data Scientist

https://talent.gravityer.com/neh-majmudar

Research Assistant at RF CUNY

Member since June 29, 2026

Key Strengths

Demonstrated proficiency in Python for data science tasks.
Experience with Jupyter Notebook for data analysis and model development.
Multiple personal projects showcasing application of machine learning and data analysis techniques.
Exposure to various data science sub-fields including sentiment analysis, image processing (semantic segmentation), and real-time data processing (CDC).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic in nature, indicating a strong interest in self-driven learning and exploration within data science. The diversity of project topics (NLP, computer vision, time series) suggests adaptability and a broad curiosity. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration and cultural alignment within a corporate setting. The target role is 'Data Scientist', and the projects align well with the technical requirements of such a role, demonstrating a foundational fit.

Soft Skills & Operational Fit

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

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

emotional_ai_hack

June 6, 2026 – Present

emotional_ai_hack — GitHub repository

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supervised-capstone-2

December 23, 2024 – December 24, 2024

supervised-capstone-2 — GitHub repository

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People-counting

September 11, 2024 – December 18, 2024

People-counting — GitHub repository

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Real-time-Financial-Transactions-CDC

August 17, 2024 – August 17, 2024

Real-time-Financial-Transactions-CDC — GitHub repository

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Feature-extraction-with-Semantic-Segmentation-and-TL-for-AD

May 25, 2024 – June 7, 2024

Feature-extraction-with-Semantic-Segmentation-and-TL-for-AD — GitHub repository

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Water-Mains-Prognosis

April 13, 2024 – May 21, 2024

Water-Mains-Prognosis — GitHub repository

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Student-Summaries-Evaluation

November 22, 2023 – September 5, 2024

Student-Summaries-Evaluation — GitHub repository

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Album-Reviews-Sentiment-Analysis

October 4, 2023 – December 15, 2023

Album-Reviews-Sentiment-Analysis — GitHub repository

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Food-Business-Distribution-NY

May 16, 2023 – June 5, 2023

Food-Business-Distribution-NY — GitHub repository

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Phish-Sight-replication

March 14, 2023 – November 17, 2024

Replication & enhancement of "Phish Sight" phishing detection algorithms (Pandey and Mishra 2023)

View Project

Key Strengths

Demonstrated proficiency in Python for data science tasks.
Experience with Jupyter Notebook for data analysis and model development.
Multiple personal projects showcasing application of machine learning and data analysis techniques.
Exposure to various data science sub-fields including sentiment analysis, image processing (semantic segmentation), and real-time data processing (CDC).

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 provided.

Neh Majmudar

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit