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Marc Miranda | Gravity Talent Portal

Marc Miranda

Marc Miranda

Data Scientist

https://talent.gravityer.com/marc-miranda

IndiaMember since June 24, 2026

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

https://talent.gravityer.com/marc-miranda

Top Skills

ShellPythonJupyter NotebookSCSSHTMLtypescriptCSSJavaScriptRubyCoffeeScriptMatlab

Skills

ShellPythonJupyter NotebookSCSSHTMLtypescriptCSSJavaScriptRubyCoffeeScriptMatlab

Projects

ai-sandbox

March 10, 2026 – Present

Docker config and bash scripts for running an ai-sandbox

personal-website

April 15, 2021 – April 15, 2021

personal-website — GitHub repository

m4-miranda.github.io

October 10, 2020 – October 10, 2020

m4-miranda.github.io — GitHub repository

tour-of-heroes

February 23, 2018 – February 24, 2018

angular.io example project

rails-microblog

August 16, 2017 – August 17, 2017

Sample app for https://www.railstutorial.org/book/

notSoGoodreads

August 14, 2017 – August 24, 2017

Functional clone of Goodreads using Rails

rails-blog

August 4, 2017 – August 12, 2017

For reference http://guides.rubyonrails.org/getting_started.html

image-processing

June 21, 2017 – June 21, 2017

image-processing — GitHub repository

CS50

July 7, 2016 – July 7, 2016

CS50 — GitHub repository

IoTHome

May 20, 2016 – May 20, 2016

IoTHome — GitHub repository

Key Strengths

Demonstrated interest in AI/ML through 'ai-sandbox' project.
Experience with Python and Shell scripting, relevant for data science tooling.
Exposure to data visualization/analysis tools like Jupyter Notebook.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic in nature, indicating self-driven learning. The diversity of technologies (Ruby, Angular, Matlab, Python) suggests a broad interest in programming, but a lack of focused data science projects beyond a basic 'ai-sandbox' and 'image-processing' in Matlab. Alignment with a senior Data Scientist role is weak due to the absence of professional experience and advanced data science projects.

Soft Skills & Operational Fit

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