About
I hope you are doing well. I am Yash Srivastava,with 6 months of experience as a Data Intern at Crowe Capability Center – Crowe LLP, where I built metadata-driven data quality workflows, developed LLM-powered automation solutions, optimized SQL validation processes, and created React/Next.js dashboards. I am an immediate joiner and am seeking opportunities in your organisation. I am a quick learner who enjoys adapting to new technologies and tech stacks. I recently completed my B.Tech in Computer Science and Engineering (Artificial Intelligence). Alongside my professional experience, I have built full-stack projects using React Native, Next.js, and PostgreSQL, and solved 650+ LeetCode problems, strengthening my technical and problem-solving skills. Technical Skills: Python, Java, SQL, SQL Server, MySQL, PostgreSQL, React, Next.js, React Native, TypeScript, JavaScript, REST APIs, YAML, Jinja, Git, Power BI, LLMs, RAG, MCP.
Skills & Expertise (56)
Work Experience
Data Intern
Crowe LLP
Feb 2026 - Jul 2026
Engineered metadata-driven data quality workflows using Python and SQL Server, supporting validation across 15+ enterprise databases, standardizing enterprise-wide data quality checks, improving validation consistency, and reducing manual validation effort by 80%. Designed an LLM-powered SQL rule generation and validation system using MCP (Model Context Protocol), automating the creation of 40,000+ SQL data quality rules from database metadata, reducing rule creation time by 95% and significantly accelerating enterprise data quality onboarding. Crafted an LLM-powered chatbot using Retrieval-Augmented Generation (RAG), indexing 500+ enterprise knowledge documents to deliver context-aware responses, reducing information retrieval time by 70%. Built 8+ responsive dashboards using React, Next.js, TypeScript, and REST APIs for real-time data quality monitoring and visualization, improving monitoring efficiency and enabling 50% faster issue identification. Optimized SQL-based data quality validation by implementing multithreaded Python workflows across 40,000+ test cases using YAML and Jinja, reducing execution time from 2500s to 900s (64%).
Education
Bachelor of Technology in Computer Science and Engineering (Artificial Intelligence) - G.L. Bajaj Institute of Technology and Management
2022 - 2026 · Afghanistan
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Citizen
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Skills (56)
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