Open to opportunities

Rana Muhammad Talha

@ranamuhammadtalha

Message

I build end-to-end machine learning and NLP systems, from predictive pipelines to deployed AI applications.

Pakistan

Message

What I'm looking for

I'm seeking an entry-level Machine Learning, Data Science, or AI Engineering role where I can build end-to-end ML pipelines, NLP applications, and deployed AI systems.

I've built end-to-end machine learning systems for clinical risk classification, insurance premium prediction, and bilingual Urdu-English sentiment analysis.

During my Data Science Trainee experience at Machine Learning 1, I engineered a Heart Disease predictive system with Python and Scikit-learn, benchmarking Logistic Regression, SVM, KNN, Decision Trees, and Naive Bayes. My optimized Logistic Regression model achieved 87% accuracy and an 88% F1-score.

For my final-year project, I developed an offline AI desktop assistant with voice and text interaction, local LLMs, modular task execution, and ChromaDB-powered long-term memory designed to preserve user privacy.

I've also deployed FastAPI and Docker inference APIs, fine-tuned multilingual BERT models with PyTorch and Hugging Face, and built draft-first LLM workflows with human approval gates for customer support.

Experience

Work history, roles, and key accomplishments

Data Science Trainee

Machine Learning 1

Jun 2026 - Jul 2026 (1 month)

Engineered an end-to-end predictive system using Python and Scikit-learn on the Heart Disease dataset to classify patient clinical risk. Built data preprocessing and feature scaling pipelines and benchmarked multiple classification algorithms, optimizing a Logistic Regression model to achieve 87% accuracy and 88% F1-Score.