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shubhammank | Gravity Talent Portal

shubhammank

shubhammank

Data Scientist

https://talent.gravityer.com/shubhammank

Data Scientist

Ahmedabad, Gujarat, IndiaMember since June 16, 2026

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

https://talent.gravityer.com/shubhammank

Top Skills

PythonJupyter NotebookDockerfileHTML

Skills

PythonJupyter NotebookDockerfileHTML

Projects

Autonomous-Campaign-Insights-Engine

November 29, 2025 – November 29, 2025

Anomaly Detection | LLM Insights | RAG Optimization Playbooks | Predictive Intelligence

creative_intelligence

November 29, 2025 – November 29, 2025

Vision-LLM Scoring | Creative Variants | Compliance Checker | RAG-Powered Insights

ai_media_buyer

November 29, 2025 – November 29, 2025

LLM-Powered | Multi-Agent Automation | RAG-Enhanced Playbooks | DV360 + Meta + Google Ads

RAG-Platform-with-Plug-and-Play-Document-Intelligence

November 29, 2025 – November 29, 2025

RAG-Platform-with-Plug-and-Play-Document-Intelligence — GitHub repository

Fake-Image-Forensics-Detector

November 29, 2025 – November 29, 2025

Fake-Image-Forensics-Detector — GitHub repository

ai-multi-agent-document-reviewer

November 29, 2025 – November 29, 2025

A multi-agent AI system that ingests PDF/DOCX reports, performs semantic chunking, context-aware retrieval, and generates four types of review comments—recommendations, evidence, clarifications, and proofreading. Built with LangGraph, vector search, delta embeddings, and configurable YAML rules.

inocubo

December 20, 2024 – December 20, 2024

inocubo — GitHub repository

AiForMedicine

October 16, 2020 – October 16, 2020

AiForMedicine — GitHub repository

gan-tts

October 5, 2020 – October 6, 2020

gan-tts — GitHub repository

statiks_crawlercode

October 3, 2020 – October 3, 2020

statiks_crawlercode — GitHub repository

Key Strengths

Demonstrated strong interest and practical experience in AI/ML, particularly in LLMs, RAG, and multi-agent systems through personal projects.
Proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebooks for data exploration and model development.
Projects like 'Autonomous-Campaign-Insights-Engine' and 'ai_media_buyer' show application of AI in business intelligence and marketing, which can be relevant for data-driven roles.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a strong self-driven learning approach in cutting-edge AI/ML domains. The diversity of AI-related projects (anomaly detection, RAG, multi-agent systems, image forensics, TTS) indicates a broad interest within the field. However, the lack of professional experience or team-based projects makes it difficult to assess collaboration and cultural alignment within a corporate setting. The focus on personal projects suggests a strong individual contributor, but team dynamics are unproven.

Soft Skills & Operational Fit

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