Muhammad Talha Younas
Data Science | Machine Learning Researcher
Machine Learning Engineer and Data Science student with hands-on experience in AI-driven research and productivity-enhancing ML solutions. Skilled in developing end-to-end pipelines, data preprocessing, and deploying models.
Technical Skills
Featured Projects
Developed ML models (Random Forest, LSTM) to predict shock in ICU patients from time-series vitals. Applied feature engineering & preprocessing for early detection.
Built a sentiment classifier on 50,000 IMDB reviews with 85% accuracy using Naive Bayes. Applied TF-IDF vectorization and identified sentiment-related keywords.
Performed profitability & forecasting analysis using ARIMA & Prophet. Designed dashboards for sales insights.
Built a classification model for predicting heart disease risks using medical data. Implemented preprocessing and ML algorithms.
Built a spam email classifier using CountVectorizer + Random Forest. Achieved high accuracy with end-to-end workflow.
Implemented Generative AI applications including prompt engineering and LLM-based solutions.
Education & Certifications
Bachelor's in Data Science
Islamia University of Bahawalpur
2022 – 2026
F.SC (Pre-Engineering)
National College of Science, Dunyapur
2020 – 2022
10+ DataCamp certifications including Python Fundamentals, Supervised Learning with scikit-learn, and Tree-Based Models.
Achievements & Roles
Sports Secretary
Islamia University of Bahawalpur
2024 – 2025
Kaggle Challenges
Completed multiple Kaggle challenges & Generative AI research-based tasks