Ibrahim Hussain — portfolio

Explore the terrain
01 / Introduction

In seven windows.

Data science, systems and the interests behind them.

About me

Ibrahim Hussain

Quantitative Data Scientist | Systems Modelling | Risk & Decision Analytics. I study Data Science at FAST-NUCES and build AI systems, data pipelines and models for decisions under uncertainty. At PTCL I worked on retention models with reported accuracy above 77%, BI dashboards and a Teradata pipeline; at SmartForum I engineered agentic health workflows.

The personPortrait of Ibrahim Hussain

Islamabad

Engineering from Pakistan.

Beyond the terminal

Curiosity in motion.

Photography, cinema, Mehdi Hassan, astronomy and the mountains of Pakistan.

Career track / 01

Quant

Modelling uncertainty, market data and financial risk.

View track ↗
Career track / 02

ML / AI

Document forensics, agents and explainable models.

View track ↗
Career track / 03

Engineering

From source data to deployable systems.

View track ↗
Career track / 04

Analytics

Forecasts, BI and decision-ready evidence.

View track ↗

Data Science undergraduate, FAST-NU, graduating 2027, seeking Summer 2027 internships; open to relocation in Europe and the UK.

02 / Public GitHub data

Work in motion.

These values update from the public GitHub API after the scheduled data job runs.

Public repositories
Syncing

Public repositories owned by ib-hussain.

Recent pushes
Syncing

Public push events available through the API.

Followers
Syncing

Public GitHub followers.

Top language
Syncing

Most frequent primary language across public repositories.

Last updated
Syncing

Data refresh date, in UTC.

03 / Skills planet

Tools in orbit.

Source implementation and complete original tag set from Aahana Surya. Ibrahim will customise the list later.

Python Java JavaScript HTML/CSS C++ Kotlin SQL C# MATLAB LLM integration Prompt engineering Computer vision OpenAI API AI agent design Object detection scikit-learn Model evaluation & testing Neural networks Vision-language models (VLMs) TensorFlow Google AI Studio OpenCV MediaPipe (hand/pose tracking) Intel RealSense (RGB-D fusion) PyObjC (macOS integration) OCR (Tesseract) React TypeScript Git/GitHub AWS Flask Streamlit NumPy Pandas FastAPI Supabase (Postgres) Docker Matplotlib Jupyter

Drag to spin

04 / Photo journal

Life, in frames.

Open Photos ↗

Illustrative landscapes are placeholders for future photographs.