Imran Munshi

About Imran Munshi

I am a results-driven Data Scientist and Machine Learning Engineer with 5+ years of hands-on experience building end-to-end data, ML, and Generative AI (LLM-based) solutions across BFSI, Travel, Retail, and Healthcare domains.My expertise lies in transforming complex business problems into scalable, production-ready AI systems from data ingestion and feature engineering to model development, deployment, and monitoring. What I work on:Machine Learning & Deep Learning:Classification, regression, churn prediction, text classification use cases using Scikit-learn, TensorFlow, and PyTorchNLP & Generative AI (LLMs):Text classification (BERT, Transformers, LSTM ), NER, semantic search, document intelligence, RAG (Retrieval-Augmented Generation), prompt engineering, and Text-to-SQL systems using OpenAI / Gemini / LangChainIndustry-Grade GenAI SystemsBuilt AI solutions using Traditional NLP and GenAI for banking policy search, customer query automation, document-based chatbots, and internal analytics, focusing on accuracy, compliance, and scalability.Data Engineering & PipelinesStrong experience with Python, SQL, ETL workflows, batch prediction pipelines, and cloud-based data processing using Azure ML / AWS servicesDeployment & MLOps ExposureModel deployment via FastAPI, cloud integration, logging, monitoring, RBAC, and versioning concepts.Continuously staying updated on the latest advancements in NLP, Generative AI, and AI research. Data Engineering & ETL:Built ETL pipelines using AWS Glue to process and analyze data from AWS Redshift and Athena.Developed ETL workflows in Microsoft Fabric, loading data into a Data Lake and creating interactive Power BI dashboards. Data Analysis & Visualization:Analysed retail sales data using MySQL and built dynamic, user-driven Power BI dashboards.Created calculated columns, connected datasets, and implemented advanced visualizations (bar, pie, donut, scatter, line, card, slicers, etc.) for actionable insights. Tech Stack:Python | SQL | Pandas | NumPy | Scikit-learn | TensorFlow | PyTorch | NLP | Generative AI | LLMs | LangChain | RAG | OpenAI | Gemini | FastAPI | Azure ML | AWS | Power BIDatabases: MySQL, PostgreSQL, SSMSVector Databases: Pinecone, ChromaDB, FAISSCloud Platforms: AWS, GCP, Azure

Experience

1. Lead Software Engineer (Data Scientist)

   Persistent Systems

   Apr 2024 — Present · Pune, IN

Education

• BLDEAs College of Engg. & Technology, BIJAPUR

  Master of Business Administration - MBA, Finance

  2014 — 2016

• KUMUD BEN DARBAR COLLEGE OF BCA, BIJAPUR

  Bachelor of Computer Application , Computer and Information Science