Ms. Aroofa Nasir SCIT - BNU

Ms. Aroofa Nasir is a Lecturer at the School of Computer & Information Technology (SCIT), Beaconhouse National University (BNU), Lahore. She specializes in Data Science, Machine Learning, and Biomedical Natural Language Processing, with experience in both research and teaching.

Her work focuses on applying advanced NLP techniques on clinical data to develop predictive models, improve healthcare outcomes, and extract meaningful insights from biomedical text and electronic health records.

• MS in Data Science, FAST, National University of Computer and Emerging Sciences, Lahore, Pakistan
• BS in Statistics, University of the Punjab, Lahore, Pakistan

Relevant Coursework:

• Machine Learning, Big Data Analytics
• Research Methodology, Applied Programming
• Database Management, Multivariate Analysis
• Time Series Analysis, Statistical Inference

• Lecturer, School of Computer & Information Technology (SCIT), BNU, Lahore
• Research Assistant, Computational Biology Research Lab, FAST Lahore (2023 – 2025)
• Teaching Assistant, FAST Lahore (2023)
• Data Analyst Intern, Bureau of Statistics, Punjab (2020)

• Predicting Clinical Outcomes Using NLP Techniques – Developed predictive models using the MIMIC-III dataset to analyze unstructured clinical text and evaluate model performance against state-of-the-art methods.
• Predicting Electricity Consumption: Time Series Analysis Using Markov Chains – Implemented a Markov Chain model to analyze electricity consumption patterns, revealing seasonal trends.
• Customer Segmentation and Sales Analysis for E-Commerce – Performed exploratory analysis, K-Means clustering for customer segmentation, and analyzed top-performing products.
• Sentiment Analysis on Customer Reviews – Conducted preprocessing, model building, and prediction for customer sentiment classification.

• Languages: Python, R, C++, SQL
• Technologies: Scikit-learn, TensorFlow, PyTorch, Keras, NLTK, SpaCy, Gensim, Hugging Face, Transformers, Longformers, BERT, BioBERT, ClinicalBERT
• Visualization & Big Data: Matplotlib, Hadoop, PySpark, HDFS, SPSS
• Web: HTML, CSS

• Data or Specimens Only Research (1-Basic Course), CITI Program
• Data or Specimens Only Research (2-Refresher Course), CITI Program
• Writing in the Sciences, Coursera

• Predictive Analysis Competition, FAST Lahore – 3rd Prize for forecasting Bitcoin daily prices using ARIMA, SARIMA, and LSTM models
• Artificial Intelligence Competition SOFTEC’24 – Ranked Top 10 for developing CNNs with TensorFlow to differentiate mitotic from normal cells in medical images

• Email Address: aroofa.nasir@bnu.edu.pk