Karan Mahesh Pahlajani

Developed and maintained three Power BI dashboards with advanced DAX measures and calculated columns. Developed Generative AI prototypes with LangChain, and Azure OpenAI for summarization, extraction, Retrieval Augmented Generation (RAG), and knowledge graph generation (Neo4j, GraphRAG), while evaluating and comparing local LLMs (Llama) with Azure OpenAI for these tasks.

Led exercise sessions for a class of 25 students, teaching Machine Learning (Classification, Clustering, Frequent Patterns), Data Analysis, and Data Science concepts.

Proficiently built batch data pipelines Google Cloud Dataflow, automating data loading from Cloud Storage to BigQuery. Optimized SQL stored procedures in Google BigQuery for ETL processes, implemented schema changes to reduce redundant code by 50%, and developed Python scripts for data validation saving 60% testing time. Conducted and participated in 30+ client interviews to gather essential information for cloud migration to GCP and formulated high-level cloud architecture diagrams for 10+ applications.