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  • IIT Jodhpur
  • Bengaluru (K.A)
  • 12:36 (UTC -12:00)
  • LinkedIn in/mukulbhele

Achievements

Achievement: Pair Extraordinaire

Achievements

Achievement: Pair Extraordinaire

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mukul-bhele/README.md

Hi there! 👋 I'm Mukul Bhele

🚀 About Me

I’m a Data Scientist with 2+ years of experience passionate about extracting insights and building data-driven solutions. Skilled in Python, SQL, Machine Learning, Deep Learning, Generative AI, Agentic AI, Power BI, and Tableau, with experience across recommendation systems, search relevance modeling, inventory optimization & forecasting, review intent analysis, gen-ai based chatbots and OCR-based projects. I’ve also created several automation workflows, data apps and interactive dashboards that streamline decision making and reporting.

💼 Skills

  • Languages: Python, SQL, R, C, C++
  • Databases/Data Warehouse: Databricks, PostgreSQL, SQL Server, Google BigQuery, SSMS, Azure Data Studio
  • Libraries: Pandas, Numpy, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras, Pytorch, Streamlit, Dash, FastAPI
  • Visualisation Tools: Power-BI, Databricks AI/BI, Metabase, Tableau, Looker Studio, Microsoft Excel
  • Automation Tools: Power Automate, Github Actions, Azure Dev-Ops, Databricks Jobs
  • Soft Skills: Data Storytelling, Time Management, Leadership, Teamwork, Communication, Presentation

📫 Contact Me

Let's connect and create something amazing together:

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  1. Azure-Multi-Modal-Compliance-Orchestration-Engine Azure-Multi-Modal-Compliance-Orchestration-Engine Public

    Automated Video Compliance QA Pipeline using LangGraph and RAG to audit multimedia content against regulatory standards by integrating Azure Video Indexer with Azure AI Search and OpenAI Embeddings…

    Python

  2. AI-Powered-Customer-Support-Agent AI-Powered-Customer-Support-Agent Public

    Built an AI-powered customer support agent using LangChain agent orchestration, ChromaDB RAG, and Mem0 long term memory to generate contextual ticket responses from knowledge base and customer data…

    Python

  3. inventoryoptimization inventoryoptimization Public

    Applying ARIMA, ADF tests, and VECM techniques, our project enhances medical inventory management through the use of advanced time series analysis, ensuring optimal supply chain performance

    Jupyter Notebook 15 3

  4. Image-Entity-Extraction Image-Entity-Extraction Public

    Developed an image-based product attribute extraction pipeline using an ensemble of MiniCPM-2.6, Qwen2-VL-7B (LLaMA-Factory fine-tuned), and InternVL2-8B, combining zero-shot, few-shot, and fine-tu…

    Python

  5. vehicletelematics vehicletelematics Public

    Analyze Advanced Vehicle Telematics data analysis for insights into gear detection, fuel efficiency, driving patterns and safety using sensor data.

    Jupyter Notebook 9 7

  6. Multi-Modal-Product-Classification Multi-Modal-Product-Classification Public

    Multimodal product classification pipeline using SEResNeXt-50 (images) and CamemBERT/Flaubert (text) with multi-level fusion and LightGBM-based late fusion for accurate product code prediction..

    Jupyter Notebook