Data Scientist | AI & Machine Learning Engineer | Data Analyst
Hi, I’m Muhammad Talha Zaheer, a passionate Data Scientist and AI/ML Engineer specializing in building intelligent, data-driven solutions that transform complex data into actionable insights and business value.
I help businesses and startups leverage the power of Artificial Intelligence, Machine Learning, Data Analytics, and Business Intelligence to solve real-world problems and make data-driven decisions.
🔹 My Expertise
✔ Machine Learning & Deep Learning
✔ Data Analysis & Data Visualization (Power BI, Plotly)
✔ Python, SQL, R, Java, C++
✔ Natural Language Processing (NLP)
✔ Large Language Models (LLMs) & Retrieval-Augmented Generation (RAG)
✔ Predictive Analytics & Forecasting
✔ Big Data (Hadoop, Spark)
✔ Cloud Computing (AWS & Azure)
✔ Dashboard Development & Business Intelligence
🔹 What I Can Do for You
✅ Build Machine Learning and AI applications
✅ Develop predictive models and recommendation systems
✅ Create interactive dashboards and data visualizations
✅ Perform data cleaning, analysis, and feature engineering
✅ Build NLP and LLM-powered applications
✅ Develop end-to-end data science solutions and APIs
✅ Deliver scalable, business-focused AI products
I have hands-on experience developing projects in healthcare, business analytics, recommendation systems, and intelligent automation, with a strong focus on delivering high-quality, efficient, and scalable solutions.
My goal is simple: to help clients turn data into insights and ideas into intelligent solutions.
📩 Let’s collaborate and build something amazing with AI and data!
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Designed an interactive executive dashboard to analyze revenue, sales trends, production efficiency, sustainability metrics, and global performance using Power BI and DAX.
Built an AI-driven healthcare risk prediction system using Logistic Regression, Random Forest, Gradient Boosting, K-Means, and Isolation Forest. The platform provides disease risk prediction, patient clustering, anomaly detection, and interactive dashboards for healthcare insights.
Developed an AI-powered web application that predicts user emotions and recommends personalized music playlists using Machine Learning and Natural Language Processing (NLP). The system includes real-time emotion analysis and interactive analytics dashboards built with Streamlit.
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