Overland Park, Kansas, United States
Hands-on industry experience in analyzing large-scale data, building enterprise BI dashboards using Tableau, querying PostgreSQL databases with SQL, validating technical specifications, and collaborating with product and engineering teams to deliver scalable business intelligence solutions. Experienced in working with LLMs, prompt design and prompt engineering using the ReAct framework. Hands-on experience in using LangChain, smolAgents, LlamaIndex, LangGraph to build LLM applications using Llama, Qwen models, and applying the Retrieval Augmented Generation (RAG) for creating robust AI applications hosted using HuggingSpace. Hands-on experience in building full-stack web applications using AngularJS, Node.js and Google Cloud services and android application using Java in Android Studio. Experienced in working with pre-processing of datasets, building supervised and unsupervised Machine Learning models and its deployment in Flask through IBM Cloud. Teaching experience in Python for Undergraduate students. Proficient in C++, Python, Java, C and R programming, Hypothesis development and Business Analytics Basic understanding of Tableau, ReactJS and exemplary knowledge in web development languages such as JavaScript, HTML, CSS, PHP, Bootstrap and MySQL. Here is a link to my GitHub: https://github.com/raghav-001/
Querying and analyzing data using SQL from PostgreSQL, Redshift and S3, building and maintaining interactive Omni (AI Reporting tool) and Tableau dashboards and reports to answer key business questions, and leveraging AWS cloud infrastructure and AI tools to deliver scalable, enterprise-level business intelligence solutions.
• Studied stateful multi-agent architectures for creative AI workflows, examining how inter-agent communication, role specialization, and pipeline design affect the quality and consistency of AI-generated content at scale • Researched real-time knowledge retrieval as a complement to parametric LLM knowledge, investigating vector-based semantic search as a method for dynamically aligning trending external signals with personalized user context to enable grounded, relevant content generation
• Analyzed user behavior across app funnels using click rates and page views to surface behavioral trends and drive UX improvements • Built and maintained 30+ Adobe Analytics dashboards tracking feature performance and engagement patterns across multiple app releases • Reviewed 1000+ technical spec requirements and resolved 30+ Jira tickets to ensure accurate event tracking, data integrity, and consistent analytics across mobile platforms • Collaborated cross-functionally with developers, QA, and product managers to close data gaps and improve funnel visibility
Worked with Student Information System (SIS) of the university.
Learnt the concepts of data science and its application us in Python programming language. Worked with pandas, numpy, and various machine learning libraries