Sadaf Meymand

About Me

My portfolio reflects my deep engagement with leveraging machine learning to revolutionize healthcare outcomes. During my tenure at the Oncology Research School in IINS, I honed my skills in microarray analysis for gene expression, utilizing tools like R and the Transcriptome Analysis Console (TAC). I am passionate about pushing the boundaries of AI in healthcare, and I am excited to share my journey and discoveries.

Experience

2022

Automotive Telematics Internship

GPS Technology Company

Applied machine learning algorithms to improve predictive analytics and route planning for GPS-enabled car tracking
Assisted in developing AI-based vehicle monitoring and anomaly detection
Contributed to real-time telematics efficiency and safety improvements
Collaborated with professionals to integrate AI technologies into tracking platforms

2020–2021

Digital Marketing Specialist

Real Estate Company

Crafted and implemented digital marketing strategies to elevate brand visibility and drive lead generation
Managed and optimized digital ad campaigns across platforms
Leveraged market insights to guide strategic initiatives
Improved SEO and online presence
Led content marketing initiatives across blogs and social media

Projects

❤️

Heart Disease Prediction

Used Scikit-learn to predict heart disease, heart failure, and cholesterol levels

Scikit-learn Machine Learning

💰

Sale Price Prediction

Used RMSLE as evaluation metric. Inspired by the fast.ai ML course. Demonstrated machine learning for predicting continuous numeric values

fast.ai RMSLE

🐕

Image Classification

Built an end-to-end multi-class classifier using TensorFlow Hub. Classified dog breeds from more than 10,000 images

TensorFlow Hub Deep Learning Computer Vision

Certificates

🎓

Data Science Bootcamp

Zero To Mastery

🔬

Oncology Research School

International Institute of New Sciences (IINS)

⚖️

Ethics in AI

University of Helsinki

🏥

Machine Learning for Healthcare

MIT OpenCourseWare

Contact

I'm always open to discussing machine learning research, healthcare AI, or potential collaborations.

Email Me LinkedIn GitHub