mrudoola

Data Scientist

https://talent.gravityer.com/mrudoola

IndiaMember since June 24, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'ML-Assignment' and 'DataScienceAssignment'.
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to AI/LLM concepts with the 'Acadamic-Research-Agentic-Banking-Assistant' project, indicating an interest in advanced AI applications.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a diverse range of personal projects, from web development (HTML, CSS, JavaScript) to mobile development (Dart, Kotlin, Swift) and data science. This breadth suggests adaptability and a willingness to explore different technologies. The focus on personal projects indicates self-motivation and initiative, which are positive cultural fit indicators. The 'Acadamic-Research-Agentic-Banking-Assistant' project aligns well with modern AI trends, suggesting an interest in cutting-edge technologies.

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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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Acadamic-Research-Agentic-Banking-Assistant

June 21, 2026 – Present

An AI-powered banking assistant built using LangGraph, Groq LLM, and SQLite. The assistant can handle banking queries such as account balance checks, transaction history, mini statements, and fund transfers using agentic tool calling.

View Project

Concur-Images

February 9, 2023 – February 9, 2023

Concur-Images — GitHub repository

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DailyTasks

August 23, 2022 – August 23, 2022

DailyTasks — GitHub repository

View Project

Weekly-tasks

August 23, 2022 – August 23, 2022

Weekly-tasks — GitHub repository

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Analytics-Dashboard

August 23, 2022 – August 23, 2022

Analytics-Dashboard — GitHub repository

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Car-dekho

March 23, 2022 – March 31, 2022

Car-dekho — GitHub repository

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DataScienceAssignment

September 22, 2020 – December 21, 2020

DataScienceAssignment — GitHub repository

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ML-Assignment

May 8, 2020 – November 13, 2020

Implemented MLP, SVM, KNN algorithms

View Project

EmailClient

April 7, 2020 – May 4, 2020

An Email Client to send and receive emails.

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Library-Management-System

March 16, 2020 – April 17, 2022

Library management System

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'ML-Assignment' and 'DataScienceAssignment'.
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to AI/LLM concepts with the 'Acadamic-Research-Agentic-Banking-Assistant' project, indicating an interest in advanced AI applications.

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.

mrudoola

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit