Summary
Aviral Goyal is a data scientist with nine years of industry experience and over five years focused on predictive modeling, time series, NLP, computer vision and deep learning. Currently at Fidelity Investments, he builds production-ready forecasting platforms and custom time series solutions (Prophet, DeepAR, VAR) that drive operational decisions like call-center staffing and scenario-based impact analysis. His background spans consulting and product work—extracting insights from unstructured RFPs and medical transcripts, constructing knowledge graphs and ontology generation, and shipping text-analytics pipelines that cut inference times dramatically. He blends statistical rigor with engineering pragmatism, collaborating with ML engineering to move models into scalable tools and UIs. Notably, he has applied ensemble methods across domains—from BG/NBD customer lifetime models and recommendation systems for retail to multivariate shock-capable forecasting for finance. Based in Bengaluru, he pairs applied research with practical automation to turn complex data into actionable business workflows.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Technology, Computer Science, 7.0/10, Bachelor of Technology, Computer Science, 7.0/10 at Jaypee Institute of Information Technology, Noida