Shramanth Sulake

Data Scientist

https://talent.gravityer.com/shramanth-sulake

Final year Computer Science student at JSSSTU, Mysore.

Mysore, Karnataka, India

Key Strengths

Demonstrated experience in building AI/ML applications, specifically an AI Support Copilot with RAG and an agentic RAG system (TreeRAG).
Experience with machine learning for predictive modeling, as shown in the Customer Churn Predictor project.
Proficiency in Python, a core language for Data Science.
Exposure to various web technologies (JavaScript, HTML, CSS) which can be beneficial for deploying data products or dashboards.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards personal development and exploration of various technologies, including AI/ML, web development, and data analysis. This indicates a proactive and self-driven individual. However, the experience level is 0, and there are no professional experiences or team projects listed, making it difficult to assess collaboration and broader cultural fit in a professional setting.

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

Balance_Tracker

June 6, 2026 – Present

Balance_Tracker — GitHub repository

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Doctor-diagnosis

April 30, 2026 – Present

Doctor-diagnosis — GitHub repository

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Finance-Dashboard

April 6, 2026 – Present

Finance-Dashboard — GitHub repository

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AI-Support-Copilot

March 25, 2026 – Present

Built an AI Support Copilot using FastAPI, pgvector, Redis, and LLM APIs with RAG, semantic search, and conversational memory. It retrieves relevant knowledge from documents and uses agent-based logic to answer queries, summarize content, and extract action items via a chat API.

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TreeRAG

March 19, 2026 – Present

An agentic RAG system that navigates documents using a hierarchical TOC tree instead of vector search.

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Video_processing_system

March 17, 2026 – Present

Video_processing_system — GitHub repository

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media_jenie2

March 6, 2026 – Present

media_jenie2 — GitHub repository

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media_jenie

March 6, 2026 – Present

media_jenie — GitHub repository

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Customer_churn_predictor

January 10, 2026 – Present

Built a machine-learning–based customer churn prediction system for SaaS businesses using usage and behavioral data. Trained a supervised classification model, analyzed churn drivers, and delivered an interactive dashboard to identify high-risk customers and support proactive retention decisions.

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Stock_Broker

December 14, 2025 – December 14, 2025

React Stock Dashboard: A modern web app demonstrating advanced UI design with Tailwind CSS and Glassmorphism. Integrates Firebase for auth and data persistence to create a seamless, real-time stock portfolio simulator with a sleek dark theme.

View Project

Key Strengths

Demonstrated experience in building AI/ML applications, specifically an AI Support Copilot with RAG and an agentic RAG system (TreeRAG).
Experience with machine learning for predictive modeling, as shown in the Customer Churn Predictor project.
Proficiency in Python, a core language for Data Science.
Exposure to various web technologies (JavaScript, HTML, CSS) which can be beneficial for deploying data products or dashboards.

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.

Shramanth Sulake

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit