Prasanjit Rath

Data Scientist

https://www.opentalent.in/prasanjit-rath

BhubaneswarMember since June 16, 2026

Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects like 'Uncovering_Stereotypes_In_LLM_A_Task_Complexity_Approach', 'RAG', and 'YOLOv1_from_scratch_in_Keras'.
Experience with Python for various data science and machine learning tasks.
Familiarity with Jupyter Notebook for data exploration and model development.
Exposure to deep learning frameworks (Keras) and concepts (YOLOv1, LLM safety, Gradient Descent).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards research and development in AI/ML, which aligns with an innovative and learning-oriented culture. The diversity of projects, from LLM safety to signal processing, indicates a broad intellectual curiosity. However, without professional experience or detailed project descriptions, it's difficult to fully assess cultural fit regarding collaboration, initiative, or adaptability in a team setting.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there is no information on teamwork, problem-solving approaches, or communication style.

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Projects

Parallel_in_Pramad

June 7, 2026 – Present

Kanban board with parallellization AI view

View Project

Data_Modelling_Problems

January 3, 2026 – Present

Contains notebooks for data modelling problems for example pairwise preference, ranking, classification, etc

View Project

PomodoroApp

November 13, 2025 – Present

CustomWindowsPomodoroApp

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GradientDescentVisualization

September 13, 2025 – September 13, 2025

Contains tool to visualize gradient descent

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LLM-Safety-For-Children-Code

February 16, 2025 – February 16, 2025

Code and Data for paper LLM-Safety-For-Children

View Project

Uncovering_Stereotypes_In_LLM_A_Task_Complexity_Approach

February 1, 2024 – February 1, 2024

Uncovering_Stereotypes_In_LLM_A_Task_Complexity_Approach — GitHub repository

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python-coding-standards

September 9, 2023 – September 12, 2023

Contains information on how to write modular, clean, standard python code

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RAG

September 1, 2023 – September 14, 2023

Stuff related to RAG

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YOLOv1_from_scratch_in_Keras

December 8, 2020 – December 8, 2020

This repo contains a colab notebook that implements Yolo v1 from scratch in Keras

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Digital-Signal-Processing

January 18, 2020 – April 5, 2020

This repo contains some basic techniques to process and filter digital signals

View Project

Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects like 'Uncovering_Stereotypes_In_LLM_A_Task_Complexity_Approach', 'RAG', and 'YOLOv1_from_scratch_in_Keras'.
Experience with Python for various data science and machine learning tasks.
Familiarity with Jupyter Notebook for data exploration and model development.
Exposure to deep learning frameworks (Keras) and concepts (YOLOv1, LLM safety, Gradient Descent).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Prasanjit Rath

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit