About

Aishwarya Saraf is a highly skilled Principal Data Scientist with a focus on building analytics data platforms for enterprises seeking a 360-degree view of their daily operations. With over 12 years of experience in the information technology and analytics industry, Aishwarya has worked extensively in the big data analytics space, providing solutions, implementations, and designs across multiple industry domains such as retail, telecom, logistics, energy, and utilities. Aishwarya's expertise lies in building scalable, reliable, flexible, and maintainable solutions on cloud platforms. She is also passionate about bridging the gap between technologists and data scientists to leverage the potential of both spaces. Her technological stacks involve data science algorithms, including statistical analysis, machine learning techniques, Hadoop ecosystem, R, Python, Spark, and Tableau. Currently working as a Principal Data Scientist at Accenture Applied Intelligence, Aishwarya has previously worked as an Application Development Senior Analyst at Accenture and as a Manager Specialized Services at Hitachi. She has a Master's in Technology (Integrated Dual Degree) in Metallurgical Engineering from the Indian Institute of Technology (Banaras Hindu University), Varanasi, and has completed Post Graduate Programs in Business Analytics and Business Intelligence from the University of Texas at Austin - Red McCombs School of Business and Great Lakes Institute of Management. Aishwarya's technical expertise includes data science, research science, Python, Spark, NLP, big data, ML, Hadoop, Azure, Databricks, SQL, GCP, sentiment analysis, Jupyter, random forest, Keras, parts-of-speech, data engineering, deep learning, Scikit, Kubernetes, TensorFlow, Pandas, NoSQL, Cassandra, microservices, ETL, web, and Apache Hive. With 9.70 years of relevant experience, Aishwarya is a highly sought-after data scientist with a proven track record of delivering successful solutions to clients.