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Tahmid Khan

Data Science Research Intern @ BMEII | CS @ UPenn

Based in New York City

About

Currently completing a Master’s in Computer and Information Technology at the University of Pennsylvania, I bring a strong foundation in data science and technical expertise across diverse industries. My experience spans predictive modeling, statistical analysis, and machine learning, using tools such as Python, SAS, and SQL to extract insights from complex datasets. I have applied these skills in both healthcare and general data science projects. As I finish my degree, I am actively seeking roles in data science, analytics, or technical consulting where I can leverage my expertise in predictive modeling, data analysis, and visualization to tackle complex challenges and drive impactful, data-driven decisions.

Skills

Projects

Experience

2023-Present

Technical Solutions Lead @ MIST NY

I collaborated with program directors to develop and oversee project concepts, ensuring all initiatives met predefined milestones and objectives. I specialized in data analysis, using SQL to extract insights from large datasets and designing an ETL process that integrated data into a MongoDB-backed Django web application. To enhance organizational adoption of these technologies, I produced comprehensive training materials and videos. Additionally, I evaluated and implemented emerging technologies to optimize website functionality and operational efficiency, focusing on cost-effective solutions.

2024-Present

Data Science Research Intern @ BioMedical Engineering and Imaging Institute

At the BioMedical Engineering and Imaging Institute, I developed statistical models and predictive analytics using SAS and Python to classify Fibromuscular Dysplasia from CT imaging data, improving diagnostic accuracy. I applied radiomics techniques to extract features from arterial images, integrating them with patient demographics to enhance predictive modeling. I also analyzed clinical datasets to identify key predictors of disease, refining feature engineering for optimal performance. Collaborating with clinicians and radiologists, I presented findings and ensured compliance with clinical standards.

Education

2017-2021

Bachelors in Biology @ Baruch College

2023-2024

Masters in Computer Science @ University of Pennsylvania

Data Science Specialization, Relevant Coursework: Machine Learning, Big Data Analytics, Statistics for Data Science, Imaging Informatics, Medical Image Analysis