Data Science

Muskan Ahmad

734-***-**** *******@*****.*** Linkedin

Education

University of Michigan Dearborn Dearborn, MI

Bachelor of Science: Data Science Expected Graduation: April 2025 Experience

Powertrain Intern May 2024 – August 2024

Toyota Motors Ann Arbor, MI

● Spearheaded the design and deployment of a data parsing system for Powertrain maintenance data; achieved a 30% decrease in reporting time, allowing for faster decision-making and operational improvements in the department

● Established a set of tailored KPIs through innovative dashboard designs in Power BI, enabling rapid identification of equipment issues that led directly to quicker resolution times and increased reliability metrics by 30%

● Executed a comprehensive review of maintenance processes leveraging predictive analytics, resulting in a 30% decrease in equipment failures and achieving annual cost savings Research Data Assistant January 2023 – April 2023

Office of Metropolitan Impact Dearborn, MI

● Analyzed over 100 unique faculty input submissions regarding campus needs and preferences, transforming raw feedback into meaningful recommendations shaping future infrastructure developments for a more connected community environment

● Designed a reporting framework that streamlined the preparation of over 50 reports for the Provost, enhancing clarity and consistency in data representation

● Analyzed diverse datasets to deliver strategic recommendations focused on optimizing campus layouts and enhancing student accessibility; contributed findings addressing the three most critical areas in urban planning and campus development strategies

R&D Intern May 2023 – August 2023

Toyota Motors Ann Arbor, MI

● Improved lane identification accuracy by 30% through data collection, analysis, and Python-based testing techniques, ensuring precise integration into the Lane ID system

● Streamlined the analysis of complex datasets through advanced data processing methods using Pandas and NumPy; delivered actionable insights through comprehensive Power BI visualizations that highlight, identify inefficiencies, and drive system performance improvements

● Collaborated with third-party technology providers to enhance data analysis processes for off-road drone testing, contributing to a 15% improvement in user satisfaction ratings

● Implemented Kaizen principles to streamline workflows, resulting in a 20% reduction in project delays while collaborating with Traffic Jam Assist and Acoustics teams on system-level data analysis for vehicle performance enhancement

Relevant Project

Classifying Lumbar Spine Degenerative Condition September 2023 – December 2023 University of Michigan- Dearborn Dearborn, MI

● Developed and deployed a classification model using PyTorch and VGG16 to detect and grade lumbar spine conditions from MRI images, improving diagnostic accuracy and efficiency

● Processed multi-institutional MRI datasets (five continents, eight sites) using Python libraries such as PyDicom, MONAI, and SITK, optimizing image recentering and resizing workflows

● Automated data ingestion via Kaggle API and implemented GPU batch processing to reduce model training time by 40%

● Developed detailed diagnostic reports that integrated AI model outputs with essential metadata, enhancing compatibility and data flow within hospital IT systems to improve report generation Technical Skills

Languages: Python, C++, SQL, R

Developer Tools: Git, JMP Pro, Power BI, Google Cloud Platform, VS Code, Qlik, PyCharm, IntelliJ, Tableau Libraries: Pandas, NumPy, Matplotlib

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