Nayoumi Mytholla

Data Scientist

https://talent.gravityer.com/nayoumi-mytholla

M.Tech in Data Science graduate from Gitam Univeristy

USA

Key Strengths

Demonstrated interest in various machine learning algorithms through personal projects (e.g., Decision Trees, Boosting, Naive Bayes, KNN, SVM, Logistic Regression, Lasso Regression).
Familiarity with Jupyter Notebook for data science tasks.
Experience with scikit-learn for implementing machine learning models.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects primarily focus on individual machine learning algorithm implementations, which indicates a foundational interest in data science. However, the lack of team projects, diverse industry applications, or contributions to open-source projects limits the assessment of cultural fit and collaboration potential. The single listed experience as 'Data Scientist' in 'USA' with a future start date and no associated skills or detailed responsibilities makes it difficult to gauge real-world experience or alignment with a collaborative work environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or detailed experience descriptions are available.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

heart_disease_data

June 28, 2024 – August 27, 2024

heart_disease_data — GitHub repository

View Project

Segmentation_Internship

January 26, 2024 – January 26, 2024

Segmentation_Internship — GitHub repository

View Project

DecisionTree-SimpleExample

September 16, 2023 – September 16, 2023

Calculating Entropy, gini index using formula and understanding the decision tree split

View Project

Boosting-Algorithms

September 13, 2023 – September 13, 2023

Boosting-Algorithms — GitHub repository

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Text_Analysis_Assesment

September 8, 2023 – September 8, 2023

Text_Analysis_Assesment — GitHub repository

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Naive-Bayes

August 15, 2023 – August 15, 2023

Implemented Bernoulli Naive Bayes using acikit-learn

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KNN-Algorithm

August 10, 2023 – August 10, 2023

Basic understanding of the KNN algorithm and finding the k value using the plot.

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Support-vector-machine

August 7, 2023 – August 7, 2023

Basics of support vector machine

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Logistic-Regression

August 7, 2023 – August 7, 2023

Implementation of Logistic Regression

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Lasso-Regression

August 1, 2023 – August 1, 2023

Implementing Lasso regression with different alpha values and using sickit learn for building the Lasso regression model.

View Project

Key Strengths

Demonstrated interest in various machine learning algorithms through personal projects (e.g., Decision Trees, Boosting, Naive Bayes, KNN, SVM, Logistic Regression, Lasso Regression).
Familiarity with Jupyter Notebook for data science tasks.
Experience with scikit-learn for implementing machine learning models.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or detailed experience descriptions are available.

Nayoumi Mytholla

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit