Ritika S. profile photo

Ritika S.

Data Scientist at Oracle

Enterprise Data SciencePredictive AnalyticsMachine LearningGenerative AIComputer VisionData-driven modeling

About

I am Ritika S., a Data Scientist at Oracle with a background from IIT Delhi and NUS. My work is centered on building predictive applications that transform enterprise data into actionable insights across finance, supply chain, and human capital management. I have a deep interest in the intersection of machine learning and biology, and I am passionate about using data-driven methods to solve complex problems. I am looking to connect with fellow professionals in the AI/ML space to discuss enterprise-level solutions and innovative applications of generative AI. I offer expertise in navigating complex data ecosystems like Oracle Fusion and NetSuite to drive smarter business outcomes.

Networking

What I can offer

  • Expertise in applying advanced AI and GenAI to complex enterprise data environments
  • Insights into Oracle Fusion and NetSuite ecosystems
  • Experience in predictive analytics for finance, supply chain, and HCM

Looking for

  • expanding my professional network
  • exploring mutual opportunities in their industry
  • connections with those in the AI/ML space, particularly in enterprise solutions or ML/biology intersection

Best fit for

AI/ML professionalsEnterprise solution architectsResearchers at the intersection of ML and biology

Current Interests

Machine LearningArtificial IntelligenceComputer VisionBiologyIntersection of ML and Biology

Background

Career

Currently a Data Scientist at Oracle focusing on predictive applications for enterprise data within Fusion and NetSuite ecosystems, covering finance, supply chain, HCM, and CX.

Education

Indian Institute of Technology (IIT) Delhi; National University of Singapore (NUS)

Achievements

  • Integrated traditional machine learning with generative AI for complex enterprise settings
  • Developed predictive applications for smarter decision-making in large-scale enterprise data

Opinions

  • Predictive applications are essential for enabling smarter decision-making across business functions
  • Data-driven methods have significant potential to uncover new insights in non-traditional or diverse fields