Associate Software Engineer | Data Scientist | Machine Learning & AI Engineer

📍 Lahore, Pakistan
📧 ghufranhassansyed@gmail.com
📞 +92 330 2065742
🔗 LinkedIn
💻 GitHub

Data Scientist and Associate Software Engineer with strong hands-on experience in Python, Machine Learning, Deep Learning, and AI-powered application development. Proven ability to build end-to-end data pipelines, deploy ML models, develop REST APIs, and create LLM-based intelligent systems. Passionate about solving real-world problems using data, automation, and AI.

Programming Languages

• Python, Golang

Libraries & Frameworks

• Pandas, NumPy, Scikit-learn, TensorFlow, Keras
• Matplotlib, Seaborn
• LangChain, OpenAI API
• Flask, FastAPI

Data & Web Automation

• Selenium, Playwright, BeautifulSoup

Databases

• MySQL

Tools & Platforms

• Git, GitHub, Docker, MLflow
• Linux, VS Code, Postman, Vercel

Soft Skills

• Problem Solving, Communication, Time Management, Team Collaboration

May 2025 – Present | Onsite

Punjab University College of Information Technology (PUCIT), Lahore
Dec 2021 – Jun 2025

Relevant Coursework:
Data Structures, Analysis of Algorithms, Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Operating Systems

• Developed an automated job application system that uploads resumes, extracts key information, filters job listings, and auto-applies using LLM-generated responses.
• Tech Stack: Python, Selenium, Tkinter, LangChain

• Built an AI-powered system that transforms user-uploaded images into personalized clothing designs using deep learning and computer vision techniques.

• Developed a deep learning ANN model using TensorFlow and Keras to predict customer churn.
• Deployed a Streamlit web application for real-time predictions.

• Built a machine learning model to identify high-potential customers for a wellness tourism package.
• Improved marketing efficiency and reduced campaign costs.

• Performed data cleaning, EDA, visualization, and ML modeling to predict loan default probability.

• Applied regression models to predict forest fire occurrences.
• Evaluated models using R² Score and MSE, and saved trained models using Pickle.

• Developed automated scrapers for platforms like FlexJobs and Glassdoor to extract structured job market data.
• Tech Stack: Python, Selenium, Playwright

• Complete Data Science, Machine Learning, Deep Learning & NLP Bootcamp — Udemy

• End-to-end data pipelines: collection, processing, validation, and storage
• Data cleaning, transformation, and EDA
• Machine Learning & Deep Learning model development
• LLM-based application development using LangChain & embeddings
• REST API development and deployment
• Web scraping from dynamic websites

Open to opportunities in Data Science, Machine Learning, AI Engineering, and Software Engineering.
Let’s collaborate and build impactful solutions 🚀