Shelly Ni

Shelly Ni, a highly accomplished individual with a PhD in Biology and RPh, excels as a passionate data scientist with a profound industry background in pharmaceuticals and medicine spanning over a decade.

With a solid foundation in basic, preclinical, and clinical research settings, Shelly is dedicated to leveraging her expertise to enhance patient care and promote public health through the integration of cutting-edge technological advancements.

Driven by a penchant for embracing new challenges, Shelly aspires to utilize her advanced data analysis and programming skills to overcome obstacles within the healthcare and biotech sectors, ultimately catalyzing breakthrough discoveries.

Proficient in Python, SQL, and adept in Medication Therapy Management, Medical and pharmacy claim data, EHR, Clinical pharmacology, Pharmacogenomics, and Drug discovery, Shelly possesses a diverse skill set that complements her extensive domain knowledge.

Equipped with hands-on experience in tools such as AWS Sagemaker, Snowflake, Pandas, Numpy, Matplotlib, Scikit-learn, Seaborn, Jupyter, GitHub, and Pytorch, Shelly is well-versed in ML techniques including Regression, Classification, Time series analysis, and NLP text classification.

Shelly’s academic journey includes a PhD in Biology from the University of Vermont, a Data Analyst Nanodegree from Udacity, a Bachelor's degree in Pharmacology from Fudan University, and an AI for healthcare Nanodegree from Udacity.

Having held pivotal roles such as Principal Data Scientist at Geneia, Health Data Science Fellow at Insight Data Science, Digital Marketing Specialist at EnableConnections, Pharmacist at The University of Vermont Health Network, and Postdoctoral Fellow at the University of Colorado Denver, Shelly has amassed a wealth of experience across diverse organizational landscapes within the healthcare and pharmaceutical realms.