Skip to content
View Asifr001's full-sized avatar
92 followers · 181 following

Block or report Asifr001

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Asifr001/README.md

👋 Hi, I’m Asif Rahman

🔍 I’m passionate about data science, advanced analytics, and applying machine learning to solve complex, real-world problems.

📊 My expertise lies in exploratory data analysis, predictive modeling, and statistical programming.

🚀 Currently, I’m working as a Data Analyst at West Virginia University Medicine, where I analyze complex healthcare datasets to drive impactful insights and innovations.

🌱 I’m always learning and currently exploring advanced techniques in machine learning, deep learning and data analytics.

🤝 I’m looking to collaborate on projects involving data analytics, machine learning models, and data visualization.

📫 You can reach me at asif.rahman00014@gmail.com

Let’s connect and turn data into actionable insights! 💡

Pinned Loading

  1. Pediatric-Non-Accidental-Trauma-Covid-trends Pediatric-Non-Accidental-Trauma-Covid-trends Public

    Analyzing 14 years of pediatric trauma data to reveal how COVID-19 reshaped patterns of child physical abuse in Appalachia.

    Jupyter Notebook

  2. ICU-NLR-Data-Pipeline ICU-NLR-Data-Pipeline Public

    An end-to-end pipeline that transforms messy raw ICU lab records into a clean, validated longitudinal biomarker dataset, using Python

    Jupyter Notebook

  3. Group-Based-Trajectory-Modeling-of-NLR-in-R Group-Based-Trajectory-Modeling-of-NLR-in-R Public

    Using Group-Based Trajectory Modeling in R to uncover distinct longitudinal patterns of inflammation in critically ill patients.

    Jupyter Notebook

  4. Machine_Learning_Heart_Failure_Prediction Machine_Learning_Heart_Failure_Prediction Public

    Predicting mortality risk in heart failure patients using machine learning models on clinical data by Python

    Jupyter Notebook

  5. BreastScanNN-Deep-Learning-for-Cancer-Classification BreastScanNN-Deep-Learning-for-Cancer-Classification Public

    A deep learning model built with TensorFlow to classify breast cancer as benign or malignant based on clinical features.

    Jupyter Notebook

  6. West_Virginia_Geospatial_Analysis West_Virginia_Geospatial_Analysis Public

    Geospatial and statistical analysis (using python) of pulmonary embolism patient data to uncover healthcare disparities and clinical trends.

    Jupyter Notebook