Shaniya Khan

Data Scientist

https://talent.gravityer.com/shaniya-khan

AI-powered Full-Stack Engineer | MERN • FastAPI • PyTorch | COO @gogirlorganisation

Go Girl

Key Strengths

Demonstrated experience with various machine learning and deep learning projects, including multimodal deepfake detection and RAG pipelines.
Proficiency in Python, a core language for Data Science.
Experience with MLOps tools like MLflow and Docker, indicating an understanding of productionizing ML models.
Exposure to advanced AI concepts such as explainability (Grad-CAM) and large language models (GPT-4, Gemini).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal projects, some of which are highly relevant to data science and AI. However, the 'experienceLevel' is 0, and the only listed professional experience is current with a future start date, suggesting a lack of professional experience. The diversity of projects, while technically interesting, also includes several web development projects (JavaScript, HTML, CSS) which are less directly aligned with a pure Data Scientist role, potentially indicating a broader interest rather than deep specialization. The target role is Data Scientist, and while many projects align, the overall breadth and lack of professional context make cultural fit for a senior role uncertain.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

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

patent-doc-intelligence

June 12, 2026 – Present

patent-doc-intelligence — repository

View Project

mags_landscaping_Design_Guide

April 15, 2026 – Present

mags_landscaping_Design_Guide — repository

View Project

enterprise-rag

March 10, 2026 – Present

Production-grade RAG pipeline for financial document Q&A — LangChain, FAISS, FastAPI, Docker, Gemini.

View Project

gas-genie

March 7, 2026 – Present

Conversational AI that turns plain English into Google Workspace automations. Describe what you need, Genie asks clarifying questions, then generates and deploys a working Apps Script—no coding required.

View Project

multimodal-deepfake-detection

March 6, 2026 – Present

Multi-modal deepfake detection across image, audio and video. ~99% accuracy with Grad-CAM explainability and MLflow tracking.

View Project

DERIV-SAR-COPILOT

February 7, 2026 – Present

AI fraud detection platform. Reduces 2,000 weekly alerts to 22 cases via DBSCAN clustering and GPT-4 SAR generation.

View Project

AIS-v1

August 29, 2025 – October 14, 2025

AIS-v1 — repository

View Project

revealed

July 6, 2025 – July 6, 2025

revealed — repository

View Project

node-test

May 23, 2025 – May 26, 2025

node-test — repository

View Project

vertech

April 10, 2025 – April 22, 2025

vertech — repository

View Project

Key Strengths

Demonstrated experience with various machine learning and deep learning projects, including multimodal deepfake detection and RAG pipelines.
Proficiency in Python, a core language for Data Science.
Experience with MLOps tools like MLflow and Docker, indicating an understanding of productionizing ML models.
Exposure to advanced AI concepts such as explainability (Grad-CAM) and large language models (GPT-4, Gemini).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

Shaniya Khan

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit