Praahas

Data Scientist

https://talent.gravityer.com/praahas

Engineer, Researcher, App Developer, Pastry Chef, MMA Enthusiast, Teacher, Android App Developer, Python Developer, Machine Learning Enthusiast.

Mangalore, Karnataka, India

Key Strengths

Exposure to various programming languages including Python, JavaScript, R, C++, and HTML/CSS.
Experience with machine learning concepts demonstrated through the 'DarkPatternLLM' and 'machine-learning-vtu' projects.
Practical application of Python for data-related tasks, as seen in the 'DarkPatternLLM' and 'fastapi-crud-lab' projects.
Familiarity with Jupyter Notebook for data exploration and model development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate demonstrates a proactive approach to learning and project development through a diverse set of personal projects. The projects span web development, data science, and algorithms, indicating a broad interest in technology. The 'DarkPatternLLM' project shows an interest in ethical AI applications, which could align well with a culture valuing responsible innovation. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit.

Soft Skills & Operational Fit

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

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

algorithm-workshop

June 20, 2026 – Present

algorithm-workshop — GitHub repository

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Visual-Coding-and-Workflow-Automation

June 10, 2026 – Present

Visual-Coding-and-Workflow-Automation — GitHub repository

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cryptonauts

May 26, 2026 – Present

cryptonauts — GitHub repository

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fastapi-crud-lab

February 18, 2026 – Present

fastapi-crud-lab — GitHub repository

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recipe-app-api

August 17, 2024 – August 17, 2024

Recipe API Project

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DarkSurfer-Extension

January 24, 2024 – February 8, 2024

DarkPatternLLM is a project dedicated to detecting and combating dark patterns on websites using advanced Language Models (LLMs). This tool enhances user transparency and promotes a more user-friendly online experience.

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VTU_R-Programming_Lab_BCS358B

November 25, 2023 – November 25, 2023

VTU_2022_Scheme_AEC_BCS358B

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OS-Lab

June 28, 2023 – July 12, 2023

OS-Lab — GitHub repository

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R-Lab

June 24, 2023 – June 27, 2023

R-Lab — GitHub repository

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machine-learning-vtu

June 14, 2018 – November 27, 2018

Python Codes for the machine learning lab course of vtu 7th semester

View Project

Key Strengths

Exposure to various programming languages including Python, JavaScript, R, C++, and HTML/CSS.
Experience with machine learning concepts demonstrated through the 'DarkPatternLLM' and 'machine-learning-vtu' projects.
Practical application of Python for data-related tasks, as seen in the 'DarkPatternLLM' and 'fastapi-crud-lab' projects.
Familiarity with Jupyter Notebook for data exploration and model development.

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 are available.

Praahas

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit