Summary
Nishtha Chaudhary is a Senior Data Analyst-Scientist with 6 years of experience building predictive models, recommendation engines, and end-to-end ML deployments across retail and enterprise domains. She combines strong engineering chops in Python, PySpark, SQL and AWS with practical experience deploying Flask-backed dashboards and CI/CD pipelines to AWS EBS for production insights. At Perry Ellis and alice + olivia she translated sales, inventory and demographic data into forecasting and replenishment models that informed commercial planning and white-space analysis. Her background spans deep NLP, time-series forecasting and computer vision techniques, reflecting hands-on work with TensorFlow/Keras, NLTK, Gensim and Spark for large, messy datasets. Trained at Rutgers Business School and experienced as a data research assistant, she pairs rigorous academic methods with product-focused delivery. Outside core analytics, she brings an uncommon mix of cloud architecture experience from early roles, enabling smoother model operationalization.
6 years of coding experience
9 years of employment as a software developer
Master's degree Information Technology and Data Analystics, Master's degree Information Technology and Data Analystics at Rutgers Business School
Bachelor's degree Information Technology, Bachelor's degree Information Technology at Noida Institute of Engineering & Technology