Gaurav Singh is a Data Science professional with experience in business analysis and cloud technologies. He has expertise in developing data-driven solutions, including building interactive dashboards on AWS QuickSight and maintaining ETL pipelines using SQL and S3. His technical skills include Python, PyTorch, TensorFlow, and proficiency in AWS services like Sagemaker and Redshift. He also has experience in machine learning, including federated learning for emotion classification.
Experience
Business Analyst Intern
AMAZON
Worked closely with stakeholders to identify business requirements and implemented solutions to address pain points, resulting in improved efficiency and effectiveness of data-driven processes. Designed and developed highly available and interactive dashboards on AWS QuickSight providing stakeholders with real-time insights into business-critical metrics and performance. Automated the data backfilling process by implementing a backfill script which reduced the manual effort by 98.4%. Built and maintained ETL pipelines by writing efficient SQL queries and automated data storage and retrieval using S3. Developed AWS Quicksight Dataset for our internal team which saved 6 hours per week of manual effort.
Research Intern
SAMSUNG DIGITAL ACADEMY DTU
Project-: Federated Learning approach for Emotion Classification on Physiological Data. Worked on developing a classifier to predict the state of the mind. Classifies emotions into Arousal, Valence, and Dominance Space using EEG data. Collaborated with a team to implement Federated Learning techniques for privacy-preserving emotion recognition.
Education
DELHI TECHNOLOGICAL UNIVERSITY (FORMERLY DCE)
M.Tech. in Data Science
Data Science
INSTITUTE OF ENGINEERING AND MANAGEMENT, KOLKATA
BTech. in Information Technology
Information Technology