Data Scientist | AI/ML Engineer | Virtual Product Development | Product Cost Modeling
📍 Pune, India
I am an Engineering Analyst & Data Scientist at Whirlpool GTEC Pune with 11.5+ years of experience in AI/ML, simulation-driven product design, cost modeling, and product optimization.
I am also building my startup vision: Bandhaniya AI → AI-powered tools for design, simulation, and cost modeling in appliances and automotive ecosystems.
- Supervised / Unsupervised Learning
- Ensemble Methods, Feature Engineering, Model Tuning
- Explainability (SHAP), Regression, Classification, Clustering
- NLP, Recommender Systems, Computer Vision
- GPT, LangChain, RAG Pipelines, Agents
- Structured Outputs, Bedrock, Ollama Local Models
- Moldflow Automation (DOE, VBA scripting)
- CAE/FEA Data Pipelines, Physics AI
- System Performance Modeling (SPM), Dymola
- Trimesh, PyVista, Open3D
- Plotly Dash (solid/wireframe/contour SDF plots)
- Mesh Refinement, Tetra Meshing
- AWS (EC2, S3, Lambda, Bedrock, Elastic Beanstalk, QuickSight)
- Docker, MLflow, CI/CD, MLOps pipelines
- Dash/Plotly Web Apps
- FastAPI Backends, React/Next.js Frontends
- n8n Automations, Agentic Applications
- Should-Cost Frameworks, Manufacturing Simulations
- Cost Negotiation Models, Supplier Evaluation
- Finance Modeling (SIP, Inflation, Drawdowns)
- Storytelling (Ghibli-style Generative Projects)
- Startup Ideation
- 💰 Dash-based Cost Modeling Apps – Condenser, Endcap, Wiring Harness
- 📑 Agentic RAG Application – PDF Q&A with vector DB + similarity threshold
- 🧊 3D Mesh & SDF Visualization Pipeline – Plotly, PyVista, Trimesh
- 🔄 Moldflow VBA + Python Automation – DOE setup + result extraction
- ☁️ AWS Cost Guardrails & Bedrock Experiments
- 🚀 Building Bandhaniya AI → AI for product design, simulation, and cost modeling
- 🌐 Expanding solutions to automotive and appliance ecosystems
- 🤝 Collaborating on agentic AI apps, simulation-driven ML, and MLOps pipelines
✨ Let’s connect and build the future of AI-driven product development! ✨