About

Aishwarya Das is a highly skilled Machine Learning Engineer with a strong background in data analytics, predictive modeling, and engineering. With a passion for the transformative power of data and algorithms, Aishwarya is committed to helping institutions and individuals across industries build next-generation tools for their specific needs. Aishwarya has over 3.78 years of relevant experience in the field, having previously worked as a Senior Data Scientist at IBM and a Cognitive Engineer Intern at the same company. During her time at IBM, Aishwarya worked on a Third-Party Check Fraud Detection use case for a regional bank, identifying data quality issues and implementing and testing the performance of multiple Machine Learning Classification algorithms using PySpark’s MLlib and Python’s Scikit-Learn libraries. Her work resulted in an 89% improvement in precision without reducing recall, compared to the approach implemented by the client. Aishwarya holds a Master’s Degree in Computer Science from New York University, where she honed her technical skills and leadership abilities. She also holds a Nanodegree in Machine Learning Engineer with Microsoft Azure from Udacity, and a Bachelor of Technology in Computer Engineering from Delhi College of Engineering. Aishwarya's technical skills include ML, AWS, Data Scientist, Research Scientist, Senior Software Engineer, Random Forest, Scikit, Python, Neural Networks, and Apache Hive. She is a strong believer in practical learning and being a hustler, having been involved in multiple projects and activities since her undergraduate days to build her technical skills, leadership, and interpersonal skills. As a Machine Learning Engineer at Meta, Aishwarya is leveraging her vast experience and technical expertise to facilitate data-driven business decisions, increase revenues, improve customer experience, and work on novel problems. Aishwarya is a self-motivated and passionate individual who is always looking for new challenges and opportunities to grow and learn.