About Me

Haseeb Sagheer — Data Scientist / AI‑ML Engineer

I help teams turn data into decisions. I build clean, production‑ready ML systems and ship them: from data pipelines and feature engineering to models, APIs, and dashboards.

Focus Areas ML • NLP • Time‑Series
Cloud & Deploy Azure • VPS
Also Data Scientist
Email Me GitHub Website

Snapshot

  • Built and deployed multiple ML apps on a VPS (Gunicorn + Apache + HTTPS)
  • Projects: Customer Churn, Fake News Detection, CV Generator, Cloud Retail Insights
  • Comfortable with Python, pandas, scikit‑learn, Flask, SQL, and Power BI
  • Learning path: mastering DS/AI/ML with a strong focus on practical delivery

What I Do

  • End‑to‑end ML: data ingestion, EDA, feature engineering, model training, and evaluation
  • APIs & Apps: Flask/REST services and small web UIs for inference
  • Cloud: Azure storage, data processing, and deployment basics
  • Visualization: clean dashboards and metric tracking for decisions

How I Work

  • Keep it simple and readable; document the pipeline
  • Prefer interpretable baselines before tuning
  • Focus on data quality and repeatable preprocessing
  • Ship fast, then iterate with clear metrics

Skills & Tools

Python pandas NumPy scikit‑learn Matplotlib Seaborn Flask SQL Power BI Azure Databricks (basic) Spark (basic) Git Linux/VPS Unity (C#)

Always improving — currently deepening MLOps and cloud data engineering.

Experience Highlights

Data Science & ML Projects (2025)
End‑to‑end ML builds with real deployments on VPS and Azure. Focus on reliable baselines and clean pipelines.
Unity Game Dev (2022‑2023)
Freelance work in C#/Unity: multiplayer, Firebase auth, Google Play IAP, VR (Quest 2).
B.S. Software Engineering (CUST)
Solid foundation in software development, algorithms, and systems.

Values

  • Clarity: simple code and straight answers
  • Reliability: tests, checks, and reproducible runs
  • Delivery: working demos over slideware
  • Learning: keep shipping, keep improving
“Data without interpretation is noise. Data with direction is power.”

Featured Work

Titanic Survival Model

Binary classification with clean EDA, preprocessing, logistic baseline, and Kaggle submission.

Source

Customer Churn Prediction

Business‑focused churn modeling with LR/RF, ROC‑AUC ~0.84, and practical insights.

Source

Fake News Detector

NLP app (web UI + API) deployed on VPS with HTTPS.

Live

CV Generator

Flask app that turns form data into a PDF CV. Production on VPS.

Live

Cloud Retail Insights In Progress

Azure data pipeline + forecasting with Databricks, SQL, and dashboards.

Repo

Game Dev Portfolio

Unity projects, Firebase auth, multiplayer, VR. Background that sharpened my engineering discipline.

Profile

Let’s Work Together

Have a problem to solve or a product to ship? I’m open to roles and freelance work in data science and ML.

Email Me GitHub Website

Prefer a résumé? Download PDF (add your file link).

Quick Facts

  • Location: Pakistan
  • Degree: B.S. Software Engineering (CUST)
  • Interests: ML systems, NLP, time‑series, data products
  • Working style: practical, clear, and delivery‑driven