Aakash Ambiger

Data Scientist

https://talent.gravityer.com/aakash-ambiger

Data Scientist and Statistician

iAnalyst Infotech Pvt Lmt.

Key Strengths

Demonstrated interest in various data science sub-fields through personal projects (e.g., sentiment analysis, image augmentation, linear/logistic regression, EDA).
Practical experience with core data science libraries and tools like Jupyter Notebook, Scipy, Matplotlib, Numpy.
Exposure to different machine learning algorithms (Naive Bayes, Linear Regression, Logistic Regression).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects primarily focus on foundational data science concepts and algorithms, indicating a strong interest in the technical aspects of the role. The diversity of projects suggests a willingness to explore different areas within data science. However, the lack of team-based projects or contributions to larger open-source initiatives makes it difficult to fully assess collaborative cultural fit. The experience is limited to personal GitHub repositories, which may not reflect real-world project management or team interaction.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or 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

Sentiment-Analysis-for-Restaurant-REVIEW-

October 18, 2021 – October 26, 2021

Sentiment-Analysis-for-Restaurant-REVIEW- — GitHub repository

View Project

Wall-Crack-Detection-

October 4, 2021 – October 26, 2021

Wall Crack Detection using Detecto Package

View Project

Image-Augmentation-using-Scipy-Matplotlib-and-Numpy-Library

August 26, 2021 – August 26, 2021

Image-Augmentation-using-Scipy-Matplotlib-and-Numpy-Library — GitHub repository

View Project

Essential-Linear-Algebra-using-Scipy-Blog

August 17, 2021 – August 17, 2021

Essential-Linear-Algebra-using-Scipy-Blog — GitHub repository

View Project

Naive-Bayes

August 7, 2021 – August 7, 2021

Naive-Bayes — GitHub repository

View Project

Linear-Regression

August 2, 2021 – March 15, 2022

Linear-Regression — GitHub repository

View Project

Logistic-Regression-

August 1, 2021 – August 1, 2021

Logistic-Regression- — GitHub repository

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Exploratary-Data-Analysis

July 29, 2021 – August 6, 2021

Exploratary-Data-Analysis — GitHub repository

View Project

Projects

May 12, 2021 – May 13, 2021

Projects — GitHub repository

View Project

SQL-With-Python

April 18, 2021 – December 1, 2021

SQL-With-Python — GitHub repository

View Project

Key Strengths

Demonstrated interest in various data science sub-fields through personal projects (e.g., sentiment analysis, image augmentation, linear/logistic regression, EDA).
Practical experience with core data science libraries and tools like Jupyter Notebook, Scipy, Matplotlib, Numpy.
Exposure to different machine learning algorithms (Naive Bayes, Linear Regression, Logistic Regression).

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.

Aakash Ambiger

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit