Priya Balakrishnan

Priya Balakrishnan is a seasoned Data Science Professional with a versatile background having accumulated 13 years of experience.

Her expertise spans various domains including Merchant Portfolio Analytics, Product Analytics, Fraud Risk Analytics, Credit Scoring, Marketing Analytics, Insurance Analytics, and People Analytics.

Priya is skilled in Natural Language Processing (NLP) using popular programming languages like R and Python.

She is proficient in a range of tools such as SQL, SAS, R, Python, Microsoft Office, and Tableau.

In terms of statistical techniques, Priya is adept at Supervised and Unsupervised learning methods including Regression, Decision Trees, Clustering, Random Forest, Forecasting, Factor Analysis, and Principal Component Analysis.

Priya Balakrishnan holds a Master of Science (M.Sc.) degree in Statistics from Loyola College.

Throughout her career, Priya has held key positions at renowned organizations, serving as Product Data Scientist at Ripple, Senior Manager of Product Data Science as well as Senior Data Scientist at PayPal, and contributing her skills as Data Science Manager, Data Scientist, Senior Analyst, and Analyst at LatentView Analytics.