Kush Budihal
Decision Scientist | CFD Engineer | Knowledge Graphs (Neo4j Certified)| Additive Manufacturing | Digital Twins
- Role
- Decision Scientist at Mu Sigma Inc.
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Kush Budihal
I blend machine learning, statistical modeling, and business acumen to solve high-stakes…
Experience
Decision Scientist
Dec 2022 — Present · Bengaluru, IN
Supplier Risk Management: Successfully led a high-impact project on supplier risk management, leveraging advanced data analytics. The project focused on identifying and mitigating supply chain risks, ensuring continuity and resilienceSupplier Side Knowledge Graph: Built a scalable knowledge graph integrating internal and external pharmaceutical data to optimize supply chain visibility. Collaborated with UI/UX teams to design an intuitive application with descriptive insights, utilizing graph algorithms like triangle counting and centrality in Neo4j. The code modules are fully scalable and serve as plug-and-play accelerators for other projects requiring graph databasesSell Side Knowledge Graph: Developed a knowledge graph for supply chain operations, optimizing distribution centers, warehouses, and logistics to enhance operational efficiency and mitigate customer impacts. These reusable code modules support diverse data meshing use casesMaterial Stock-Out Optimization: Contributed to predicting material stock-outs by managing large datasets, streamlining data pipelines, and supporting the BI team. Enabled accurate inventory forecasts and improved stock managementWeb Development with React: Designed web applications to analyze pharmacy deserts in the U.S, incorporating the Social Vulnerability Index (SVI) and government datasets. Used React for data visualization and Python for geospatial analysis, delivering actionable insights to decision-makersIntegrating LLMs with Knowledge Graphs: Currently integrating Large Language Models (LLMs) with developed knowledge graphs to enhance functionality. Building intuitive, descriptive views to provide users with more seamless insightsAccelerator Development: All knowledge graphs are supported by modular, scalable codebases, designed as accelerators for plug-and-play use across various clients and projects. These modules significantly reduce development time while enabling advanced data meshing with graph databases.
Education
KLE Technological University,MSSCET, Belagavi Campus
Bachelor's degree
2015 — 2019
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