Summary
Sonal Savaliya is an experienced Data Scientist and Machine Learning Engineer with eight years of applied work spanning academic research, volunteer AI projects, and industry software development. She combines strong Python and R skills with deep learning, NLP, computer vision, and big-data tooling (Spark, PySpark, Hadoop) to deliver end-to-end solutions from data ingestion and EDA to model deployment on AWS and Docker. Her portfolio includes biometric and medical imaging models from Pace University, NLP-based human-rights monitoring and land ownership extraction projects with Omdena, and production-focused ML web apps built during a SharpestMinds fellowship. Comfortable bridging research and product, she has hands-on experience with SparkOCR, NER pipelines, LSTM/CNN architectures, and deploying models via Flask/Dash. Based in the New York City area, she’s actively expanding expertise in computer vision and quantum computing while seeking full-time roles where she can translate complex real-world problems into reliable, operational ML systems.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Pace University
Bachelor of Engineering - BE, Computer Engineering, Bachelor of Engineering - BE, Computer Engineering at Veer Narmad South Gujarat University
english, hindi, gujarati