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hamza_insights

Hamza Ali Khan

@hamza_insights

Turning Complex Business Challenges into Intelligent AI Solutions

Pakistan
English, Urdu
About me
Drowning in repetitive tasks, disconnected systems, or untapped business data? I turn complex challenges into intelligent AI solutions that save time, automate workflows, and improve decision-making. From AI agents and multi-agent systems to RAG chatbots, custom AI applications, Python automation, and predictive analytics, I build solutions tailored to your business needs. With hands-on experience developing and deploying real-world AI systems, I focus on practical results, reliable integrations, and scalable solutions. Let's turn your challenges into working solutions.... Read more

Skills

h
hamza_insights
Hamza Ali Khan
Offline • 
Average response time: 1 hour

See my services

AI Integrations
I will build ai agents and multi agent systems for business automation
From$100 / projectMore details

Portfolio

Work experience

10Pearls

Data Science

10Pearls • Part-time

Apr 2026 - Jul 2026 • 3 mos

Developed an end-to-end air quality prediction system focused on transforming environmental data into actionable insights. Key contributions: • Built automated data pipelines for collecting, processing, and managing air quality and weather data. • Developed and evaluated machine learning models, including Random Forest, Ridge Regression, XGBoost, and LSTM, for AQI forecasting. • Integrated Hopsworks Feature Store and Model Registry to support structured feature management and model versioning. • Automated hourly data workflows using GitHub Actions. • Applied feature engineering, data preprocessing, and model evaluation techniques to improve forecasting reliability. This experience strengthened my ability to develop practical machine learning solutions, automate data workflows, and work with real-world datasets.

developershubcorp

Data Science

developershubcorp • Part-time

Apr 2025 - Jun 2025 • 2 mos

Worked on practical data science and machine learning projects focused on transforming raw data into predictive insights and actionable results. Key contributions: • Developed machine learning solutions for credit card fraud detection, house price prediction, and employee attrition analysis. • Performed data cleaning, exploratory data analysis (EDA), preprocessing, and feature engineering to prepare datasets for modeling. • Built and evaluated predictive models using Python, Pandas, NumPy, and scikit-learn. • Applied classification and regression techniques to solve real-world prediction problems. • Created data visualizations to identify patterns, trends, and relationships within datasets. • Used GitHub for project organization and version control. This experience strengthened my practical understanding of machine learning workflows, predictive analytics, and data-driven problem-solving.