Mital Suresh Modha

Data Scientist

https://talent.gravityer.com/mital-suresh-modha

Work: Intern @TwoRavens Education: M.S. Computer Science (Intelligent Systems)-University of Texas at Dallas

Member since June 27, 2026

Key Strengths

Demonstrated interest in Data Science through projects like 'Bigram-Probability' and 'Car-Model-Prediction-R'.
Experience with Python and R, which are core languages for Data Science.
Exposure to machine learning concepts and algorithms (e.g., Caret package in R).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a mix of web development (Java, JavaScript, HTML, CSS) and data-related projects (Python, R, Scala, Hadoop). While there's an interest in data science, the breadth of technologies suggests a generalist profile rather than a focused Data Scientist. The personal projects indicate self-motivation and a willingness to learn diverse technologies.

Soft Skills & Operational Fit

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

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Projects

Giphy-App

September 20, 2018 – September 20, 2018

Giphy-App — GitHub repository

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Django-stock-chart

July 27, 2018 – December 8, 2022

Single page application to extract stock data by making an API call from Django and displaying the same using d3 charts

View Project

kripanshubhargava

July 13, 2018 – Present

My portfolio and projects [ Website down, Will be back soon ]

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SortingAlgorithms

May 21, 2018 – May 22, 2018

Various type of sorting algorithms

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TwitterSentimentAnalysis

May 16, 2018 – May 16, 2018

TwitterSentimentAnalysis — GitHub repository

View Project

MovieReviewMapReduce

May 15, 2018 – May 16, 2018

MovieReviewMapReduce — GitHub repository

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StopWordsRemoval-Hadoop

May 15, 2018 – May 15, 2018

Removing Stop words from a text file using Map-Reduce (Hadoop)

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Gift-Registry

November 26, 2017 – January 28, 2018

Gift registry application - A responsive Web application for gift registry with properly working database and smart front end. Front-end: Angular 4.0.0, bootstrap:4.0.0 beta, font-awsome, popper.js, HTML5,CSS3 Micro Services: Spring and Hibernate with Ehchache Web Services: Spring and Hibernate with TSL/Https secure certification. DataBase: MySql

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Bigram-Probability

May 27, 2017 – May 27, 2017

Calculates the probability of a sentence occurring in corpus using bi-grams and Laplace smoothing

View Project

Car-Model-Prediction-R

May 27, 2017 – May 27, 2017

The code evaluates data using various machine learning algorithms using the Caret package in R

View Project

Key Strengths

Demonstrated interest in Data Science through projects like 'Bigram-Probability' and 'Car-Model-Prediction-R'.
Experience with Python and R, which are core languages for Data Science.
Exposure to machine learning concepts and algorithms (e.g., Caret package in R).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Mital Suresh Modha

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit