Ram Narayanan

Data Scientist

https://talent.gravityer.com/ram-narayanan

Hi , I am Ram Narayanan . I am a programmer and a creativity enthusiast looking forward to expand and learn new ideas.

Chennai, Tamil Nadu, India

Key Strengths

Demonstrated interest in AI/ML through projects like 'ReinforcementLearning_FinalCourseProject' and 'Story-Teller-GPT'.
Proficiency in Python, a core language for Data Science, evidenced by multiple projects.
Experience with data structures and algorithms ('DSA-Python') which is foundational for efficient data processing.
Exposure to distributed systems concepts ('titan-orchestrator') which can be relevant for scalable data pipelines.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a broad interest in various technologies (Python, Java, Ruby, JavaScript, HTML, CSS, Dockerfile) and domains (AI/ML, distributed systems, web development, data structures). This diversity suggests adaptability and a willingness to explore different areas, which can be a positive for cultural fit in dynamic environments. The focus on personal projects indicates self-motivation and initiative. However, without specific team collaboration or project management experience, it's hard 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 provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

portfolio_ram

December 21, 2025 – Present

portfolio_ram — GitHub repository

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Portfolio

December 21, 2025 – Present

Portfolio — GitHub repository

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titan-orchestrator

December 17, 2025 – Present

A zero-dependency distributed orchestrator built from scratch. Bridges static DevOps pipelines and dynamic Agentic AI workflows via a Python SDK & CLI. Features reactive auto-scaling and capability-based routing

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RedisJava

December 3, 2025 – Present

RedisJava — GitHub repository

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Story-Teller-GPT

November 12, 2025 – November 12, 2025

GPT API based story teller for specific options to tailor the story

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Code_Executor

September 3, 2025 – September 3, 2025

Code_Executor — GitHub repository

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DSA-Python

July 9, 2025 – July 9, 2025

This is a repository of Common Data structures in Python. This is for revision purposes and focuses on standard ways of implementation

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ReinforcementLearning_FinalCourseProject

October 2, 2024 – December 11, 2024

The project aims to develop a reinforcement learning model for autonomous control in a dynamic highway environment. It involves cars, pedestrians, and traffic lights, with the goal of optimizing interactions for smooth traffic flow, safety, and efficiency, mirroring real-world traffic systems.

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PDFer

January 11, 2021 – January 31, 2021

A PDF converter Rails application without history and storage of conversion

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Blog-Project

June 12, 2018 – September 23, 2018

A Personal blog in node.js

View Project

Key Strengths

Demonstrated interest in AI/ML through projects like 'ReinforcementLearning_FinalCourseProject' and 'Story-Teller-GPT'.
Proficiency in Python, a core language for Data Science, evidenced by multiple projects.
Experience with data structures and algorithms ('DSA-Python') which is foundational for efficient data processing.
Exposure to distributed systems concepts ('titan-orchestrator') which can be relevant for scalable data pipelines.

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.

Ram Narayanan

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit