Nisha Muktewar

Data Scientist

https://talent.gravityer.com/nisha-muktewar

ML Engineer

SafeGraph

Key Strengths

Experience as a Data Scientist at SafeGraph, indicating direct relevance to the target role.
Demonstrated interest in various data science topics through personal projects (e.g., missing data imputation, binary classification with positive-unlabeled data, CNNs with Spark/BigDL, Snorkel, LIME).
Exposure to diverse technologies including Python, Scala, Jupyter Notebook, Spark, and BigDL, which are valuable in data science.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal exploration and learning in data science, which could indicate a proactive and curious mindset. However, the projects are all personal, and there's no information on collaborative work or team contributions. The breadth of technologies used across projects (Python, Scala, JavaScript, CSS, Makefile, Vim Script, Shell) suggests adaptability, but the descriptions are very brief, making it hard to gauge depth. The current role as a Data Scientist aligns well with the target 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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Assessing your cultural and operational fit

Projects

test-123

May 20, 2021 – May 20, 2021

test-123 — GitHub repository

View Project

snorkel-demo

June 26, 2019 – March 31, 2020

snorkel-demo — GitHub repository

View Project

data-replication

May 14, 2019 – May 14, 2019

data-replication — GitHub repository

View Project

lime-demo

September 10, 2018 – December 19, 2018

lime-demo

View Project

python-udfs

June 27, 2018 – June 27, 2018

Python decorators with PySpark

View Project

techtree

February 8, 2018 – February 16, 2018

techtree — GitHub repository

View Project

binary_positive_unlabeled

February 7, 2018 – February 9, 2018

Binary classification with only positive examples

View Project

missing_data_imputation

February 5, 2018 – February 8, 2018

Dealing with missing data

View Project

altus-lda-example

October 31, 2017 – November 13, 2017

altus-lda-example — GitHub repository

View Project

bigdl-cnn-demo

July 17, 2017 – September 6, 2017

Convolutional Neural Networks (CNN) with Apache Spark and Intel's BigDL

View Project

Key Strengths

Experience as a Data Scientist at SafeGraph, indicating direct relevance to the target role.
Demonstrated interest in various data science topics through personal projects (e.g., missing data imputation, binary classification with positive-unlabeled data, CNNs with Spark/BigDL, Snorkel, LIME).
Exposure to diverse technologies including Python, Scala, Jupyter Notebook, Spark, and BigDL, which are valuable in data science.

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.

Nisha Muktewar

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit