Siddhesh Inamdar

Lead Data Scientist | M.Tech, IIT Madras | BITS Goa

I believe the most powerful data-driven solutions aren’t just calculated—they’re crafted. To me, the magic happens at the intersection of algorithmic precision and creative intuition. I dedicate my time to deconstructing frameworks and exploring models, not just for their logic, but for the unique ingenuity they bring to the table. This is where I share my perspective on the technologies that are truly redefining our field.

Expertise & Domains

• Optimization & Predictive Maintenance: Developed Monte Carlo Markov Chain (MCMC) optimizers and discrete programming workflows (CP-SAT) that have delivered tens of millions of dollars in annual value.
• Deep Learning & NLP: Experienced in deploying Large Language Model (LLM) applications using RAG (Retrieval-Augmented Generation), fine-tuned Llama models, and Langchain to automate complex business queries.
• Time-Series & Forecasting: Leveraged Temporal Fusion Transformers and Variational Autoencoders for high-stakes uplift prediction and sensor anomaly detection across thousands of assets.
• MLOps & Engineering: Specialized in building agile, production-ready stacks including Docker, AWS Lambda, Snowflake, and Azure Databricks.

Professional Journey

Team Leadership & Strategy

Currently, I lead a specialized data science team within the industrial machinery and energy sector. My focus is on defining deployment strategies and building agile-focused development stacks.

Advanced Technology Development

Previously, I spent several years developing high-impact AI solutions for global energy leaders. My work involved:

• Building autonomous recommendation tools using One-Class Support Vector Machines to reduce human dependency in asset optimization.
• Designing Generative AI chatbots that allow field specialists to interact with complex optimization logs via natural language.
• Implementing Computer Vision and Sensor Analytics to improve production efficiency by filtering noise from thousands of industrial flowline sensors.

Technical Toolkit

Let’s Connect

I am always open to discussing the future of AI, autonomous agents, and scalable data architecture. So do contact me on my social handles!