Prital Vyas
Data Scientist | Python • PySpark • TensorFlow • RAG • LangChain • Kafka • FastAPI • Kubernetes • Databricks | MLOps & AI Deployment Expert
- Role
- Data Scientist at Morgan Stanley
- Location
- Union City, CA, US
- LinkedIn followers
- 500 followers
About Prital Vyas
Data Scientist with 4 years of experience building scalable machine learning and GenAI…
Experience
Data Scientist
Jul 2025 — Present · CA
Designs and implements machine learning models using Python, Scikit-learn, and XGBoost to predict credit risk and market volatility across multi-asset portfolios, enhancing risk-adjusted return forecasting accuracy by 22%.• Develops and automates end-to-end data pipelines using PySpark and Airflow on AWS for ingesting and processing 500M+ transactional and market data point’s daily, ensuring model inputs are refreshed in near real-time.• Collaborates with Quantitative Research and Risk Management teams to evaluate feature importance and model drift, integrating MLflow for version tracking and continuous performance monitoring.• Integrated LangChain-based RAG pipelines with internal document repositories to summarize research reports and improve knowledge retrieval accuracy for risk analysts by 25%.• Deployed RESTful inference APIs through FastAPI as part of MLOps pipeline on AWS.• Built and deployed FastAPI microservices for serving ML inference APIs, reducing model response latency by 40% and improving scalability across trading systems.• Orchestrated model retraining workflows using Kafka and Kubernetes for real-time streaming data ingestion and containerized deployment on AWS EKS.• Applies natural language processing (NLP) on financial news and analyst reports using spaCy and Hugging Face transformers to detect sentiment shifts that impact equity price movements.• Deploys and maintains predictive models via Docker and AWS SageMaker, integrating results into Power BI dashboards for traders and portfolio managers to support daily investment decisions.• Communicates actionable insights through statistical analysis, visualization, and data storytelling, helping reduce portfolio exposure to high-risk assets by 18% quarter-over-quarter.
Education
San Francisco Bay University
Master of Science - MS
Gujarat Technological University (GTU)
Bachelor's degree
2017
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