# Naman Bansal

> Software Engineer @ Wiliot | Machine Learning for Supply Chain, Retail & IoT

Location: San Francisco, California, United States
Profile: https://flows.cv/namanbansal

I’m a Data Scientist at Wiliot, where I design and deploy machine learning systems that transform raw IoT signals into real-time intelligence for global retail operations. My work bridges AI, edge data, and business outcomes, combining deep technical rigor with a focus on measurable impact.

At Wiliot, I help power Walmart’s IoT network, building models that make physical assets visible, traceable, and smart:

- Event Detection: Built temporal ML models that process millions of IoT packets per minute — achieving 40% faster event detection and improving operational visibility across stores.

- MLOps & Scalability: Engineered end-to-end pipelines in PySpark, Databricks, and AWS, reducing retraining cycles by 60% and ensuring production reliability at scale.

- LLM-Powered Analytics: Prototyped conversational AI tools that allow teams to explore IoT data using natural language — democratizing complex analytics and enabling faster decision-making.

I view machine learning as a system of continuous intelligence — where every model must create real-world value, not just accuracy points. My approach blends deep learning, time-series modeling, and generative AI with a systems mindset focused on performance, maintainability, and ROI.

Previously, at iMocha, I built automation frameworks and data engineering systems that reduced manual development effort and accelerated product delivery.

I’m passionate about turning complex data ecosystems into intelligent, adaptive systems — applying machine learning not just as an algorithmic tool but as a product lever for innovation, efficiency, and scale.

Core Expertise: Machine Learning · Deep Learning · Time-Series Modeling · MLOps · LLM Applications · Edge AI · IoT Analytics · PyTorch · TensorFlow · Databricks · PySpark · AWS · Generative AI · NLP · Data Pipelines · Scalable Systems · Product-Driven AI

## Work Experience
### Software Engineer @ Wiliot
Jan 2026 – Present | San Francisco Bay Area

### Data Scientist @ Wiliot
Jan 2024 – Jan 2026 | San Francisco, California, United States
• Trained and deployed a production-grade machine learning model for temporal event detection for Walmart’s IoT infrastructure, enabling in-store item movement tracking with 99.5% accuracy.

• Engineered scalable real-time machine learning pipelines using PySpark and Databricks to process data from over 9M IoT sensors with less than 2 second latency enabling instant analytics.

• Prototyped LLM-based tools using LangChain and OpenAI APIs to enable natural language querying of sensor data. Implemented a RAG memory-layer with vector similarity search to get the most relevant context.

• Executed end-to-end feature engineering on multivariate time series data using NumPy, Pandas, and SQL— partnered with business teams to validate data patterns via hypothesis testing and statistical inference.

• Designed visualizations and analytics dashboards to monitor model performance, drifts and coverage — enabling stakeholders to make data-driven decisions across operations and engineering.

### Software Developer @ iMocha
Jan 2021 – Jan 2022 | Pune, Maharashtra, India
• Engineered a multi-lingual code snippet generation tool using Python that supported 13+ programming languages, reducing snippet generation time by 70% and eliminating 150+ hours of boilerplate setup.

• Built a content standardization pipeline leveraging text parsing, schema validation, and automated formatting, unifying diverse vendor inputs into a consistent, production-ready format.

• Engineered a Python-based automation framework to auto-generate and validate unit tests for iMocha’s question library, scaling test coverage across 1,000+ problems and cutting QA cycles by 80%.


## Education
### Master of Science - MS in Data Science
University at Buffalo

### Master of Business Administration - MBA in Business Intelligence
SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

### Bachelor of Technology - BTech in Computer Science
SVKM's Narsee Monjee Institute of Management Studies (NMIMS)


## Contact & Social
- LinkedIn: https://linkedin.com/in/namanbansal1
- Portfolio: https://naman.data2dialog.ai

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Source: https://flows.cv/namanbansal
JSON Resume: https://flows.cv/namanbansal/resume.json
Last updated: 2026-04-11