Hammad Qaiser

Data Scientist

https://talent.gravityer.com/hammad-qaiser

I'm a human.

Member since June 28, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'tensorflow-lessons', 'pytorch-lessons', 'Winning-Space-Race-with-Data-Science', and 'AI-Powered-Sentiment-Emotion-Detection-Server'.
Experience with Python, a core language for Data Science.
Exposure to various AI/ML concepts including RAG chatbots, multi-agent systems, and sentiment analysis.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal learning and exploration in AI/ML, which aligns with an innovative and self-driven culture. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative work environment. The projects are diverse in application but primarily personal, indicating a potential need for experience in structured team settings.

Soft Skills & Operational Fit

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

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

tensorflow-lessons

June 26, 2026 – Present

tensorflow-lessons — GitHub repository

View Project

pytorch-lessons

June 26, 2026 – Present

pytorch-lessons — GitHub repository

View Project

hiwma-chatbot

June 10, 2026 – Present

A RAG chatbot that answers technical questions about solid waste management using content from engineering textbooks. Built as a modular component of the HIWMA decision-support framework.

View Project

amaan-ciro

May 20, 2026 – Present

Real-time Multi-agent Crisis Intelligence & Response Orchestrator (CIRO) for urban crisis detection, resource allocation, and coordinated emergency response for Islamabad city.

View Project

multi-agent-framework-for-crypto-portfolio-management

March 19, 2026 – Present

A Multi Agent Framework for Crypto Portfolio Management

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AI-Powered-Sentiment-Emotion-Detection-Server

March 19, 2026 – Present

AI-Powered-Sentiment-Emotion-Detection-Server — GitHub repository

View Project

BrickBreakerGame

March 18, 2026 – Present

A Brick Breaker Game in Java

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minibank

March 16, 2026 – Present

Simulation of Retail and Loan Systems of JPMorgan Chase Bank

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Hangman

February 10, 2026 – Present

Hangman game in C

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Winning-Space-Race-with-Data-Science

August 19, 2025 – August 20, 2025

IBM Data Science Capstone Project

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'tensorflow-lessons', 'pytorch-lessons', 'Winning-Space-Race-with-Data-Science', and 'AI-Powered-Sentiment-Emotion-Detection-Server'.
Experience with Python, a core language for Data Science.
Exposure to various AI/ML concepts including RAG chatbots, multi-agent systems, and sentiment analysis.

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 are available.

Hammad Qaiser

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit