Hey! 😄 My name is Shaun Parimoo.
I'm a Data Scientist / Computational Biologist from Warren, NJ and currently reside in Philadelphia, PA. I pursued my undergraduate degree in Biological Sciences, complemented by a minor in Chemistry, at the University of Pittsburgh. Following this, I advanced my education with a master's degree in Computational Biomedicine & Biotechnology at University of Pittsburgh School of Medicine!
I'm passionate about diving deep into data analysis to uncover insights. Data science goes beyond trend analysis and predictive forecasting; it represents a creative journey to discover opportunities that have the potential to transform business strategies. From using machine learning on drug discovery projects to devising cutting-edge marketing strategies through customer segmentation models, my goal is to innovate and deliver impactful solutions.
In my free time I'm an avid Soccer player and fan (Lets Go Brighton!) ⚽, a sneakerhead 👟 and a volunteer EMT 🩺.
Proficient in Python, R, SQL, and Java for data analysis, statistical modeling, and building scalable data science applications.
+Experienced with TensorFlow, PyTorch, scikit-learn, and other ML frameworks for developing predictive models, classification systems, and data analysis pipelines.
+Skilled in AWS, Azure, and Google Cloud for deploying scalable data science solutions and managing large-scale data processing workflows.
+Certified in Azure Fundamentals, Supervised Machine Learning, and other areas demonstrating expertise in data science, healthcare analytics, and computational methods.
+RESUME
I'm always looking to collaborate on data science, machine learning, and computational biology projects! Whether you need expertise in predictive modeling, data analysis, or algorithm development, I'd love to discuss how my skills can help your organization.
Reach out via email to discuss potential collaborations, consulting opportunities, or if you have questions about my data science projects.
