Shivam S.
SAP Application Engineer @ Google
About
KARMA BelieverSAP Business Data Cloud | Data Sphere | Business Intelligence | Google BQData Analysis using Big Query Gemini Development of custom Data extractor using Vertex AI GenAI using GCPIntegration SAP AppGyver With GCP AI APIsOpenAI fine tuning for data extractionBot Development + Fine TuningIntegration SAP APPGyver with OpenAI APIsCloud functions + dialogflow CXMachine learning Working on designing & Develop AI Powered Solutions SAP Graph APIs ( Integration Tech. )Developed Supplier onboarding App using RPA and CAP + Postgres SAP Inside track Speaker for Hana machine learningSAP inside track speaker for BTP and Ariba SAP Hackathon winner two timesStrong exposure on SQLScript SAP HANA /CDS | CAPSpeaker for HANA Machine Learning Python APIsExpert in Code Optimization techniques Solution Oriented and Curiosity to dig deeper Blogger | Speaker (SAP Internal)HANA Certified - HANA 2.0 SPS03Exp. on External Machine Learning with SAP HANAAlways intended to work on POC’sStrong experience in SAP World , like to build some Jaw dropping solutions , looking for some challenges in SAP WorldTeam building Knowledge sharingProduct DevelopmentIntegrating SAP with Different technologiesSAP HANA Analytics , Modelling
India
Noida
Information Technology & Services
Google BigQuery, Business Data Cloud, Advanced ABAP, Data Analysis, DataSphere, Busimess Data Cloud, SAP Process automation, Build Apps, Rap, CAP, Node.js, Fieldglass, SAP Ariba, Software Development, Application Programming Interfaces (API), ABAP, SAP ERP, SAP, SAP Implementation, SQL
Experience
Education

Data Science and Big Data Analytics: Making Data-Driven Decisions
Apply data science techniques to your organization’s data management challenges. Identify and avoid common pitfalls in big data analytics. Deploy machine learning algorithms to mine your data. Interpret analytical models to make better business decisions. Convert datasets to models through predictive analytics. Understand the challenges associated with scaling big data algorithms. The importance of choosing how to represent your data when making predictions.
Shivam S.'s Contact Information
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