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# Sanjana Shetty

**Headline:** Data Science Intern
**Profession:** Data Science Intern
**Location:** Raleigh, NC, USA

## About

Sanjana Shetty is a machine learning engineer with internship experience building voice AI, automation, industrial forecasting, and systems-performance proof of concepts. Sanjana’s strongest areas include time-series forecasting, class-imbalance handling, feature engineering, SHAP analysis, and machine learning development with PyTorch, transformers, neural networks, GRUs, and other classifiers. At Vertizone Pvt. Ltd., Sanjana built an industrial alarm forecasting proof of concept for Honeywell using 1.74 million time-series sensor records and achieved 83% precision with transformer-based modeling after iterating from decision trees to transformers. Sanjana also presented weekly technical progress, setbacks, and results to senior Honeywell stakeholders. In additional roles, Sanjana built a voice-based shopping assistant for visually impaired users, contributed to low-latency Voice AI workflows at Plivo, and benchmarked CPU- and I/O-intensive workloads across Java Native Threads, Java Virtual Threads in JDK 21, Golang, and Python at Hewlett Packard Enterprise. Sanjana is pursuing a Master of Computer Science at North Carolina State University and is interested in expanding from proof-of-concept development into real-world product building, deployment, and MLOps through collaborative teams.

## Highlights

- Built a Honeywell industrial alarm forecasting proof of concept at Vertizone Pvt. Ltd. using 1.74 million time-series sensor records from process control systems.
- Achieved 83% precision on the alarm forecasting system using transformer-based modeling while addressing class imbalance.
- Iterated from decision trees to transformers for the Honeywell alarm forecasting work.
- Applied time-series forecasting, feature engineering, class-imbalance handling, and SHAP analysis to industrial sensor-data modeling.
- Presented weekly progress, technical results, and setbacks to senior Honeywell stakeholders.
- Built a voice-based shopping assistant for visually impaired users as a Machine Learning Engineer Intern at Vertizone Pvt. Ltd.
- Integrated speech input, Playwright automation, and audio feedback in the voice-based shopping assistant.
- Worked on Voice AI solutions as a Forward Deployed Engineer Intern at Plivo using Plivo Voice APIs, SIP/WebRTC, and agentic AI workflows for low-latency communications.
- Benchmarked CPU- and I/O-intensive workloads at Hewlett Packard Enterprise across Java Native Threads, Java Virtual Threads in JDK 21, Golang, and Python.
- Worked with PyTorch, transformers, neural networks, GRUs, and multiple machine learning classifiers.
- Served as Joint Secretary of the BMSCE IEEE Computer Society.
- Served as Student Activities Coordinator of the BMSCE IEEE Computer Society.

## Experience

- **Data Science Intern at Vertizone Pvt. Ltd.** (2026-05-01–2026-07-01) — Developed a proof-of-concept industrial alarm forecasting system for Honeywell using time-series sensor data from process control systems.
- **Forward Deployed Engineer Intern at Plivo** (2026-01-01–2026-02-01) — Worked on Voice AI solutions using Plivo Voice APIs, SIP/WebRTC, and agentic AI workflows for low-latency communications.
- **Project Intern \(Career Preview Program\) at Hewlett Packard Enterprise** (2025-02-01–2025-07-01) — Benchmarked CPU- and I/O-intensive workloads across Java Native Threads, Virtual Threads \(JDK 21\), Golang, and Python.
- **Machine Learning Engineer Intern at Vertizone Pvt. Ltd.** (2024-08-01–2024-11-01) — Built a voice-based shopping assistant for visually impaired users integrating speech input, Playwright automation, and audio feedback.
- **Joint Secretary at BMSCE IEEE Computer Society** (2024-01-01–2025-01-01)
- **Student Activities Coordinator at BMSCE IEEE Computer Society** (2023-07-01–2024-01-01)

## Education

- Master of Computer Science — North Carolina State University (2026-01-01–2028-01-01)
- Bachelor of Engineering - BE, Computer Science — B. M. S. College of Engineering (2022-01-01–2026-01-01)
- PUC, PCMC — Deeksha Centre For Learning (2020-01-01–2022-01-01)
- Junior High School — SSRVM, Bangalore South (2018-01-01–2020-01-01)
- JSS Private School, Dubai (2011-01-01–2018-01-01)
- Computer Engineering — B. M. S. College of Engineering

## FAQ

### What does Sanjana do?

Sanjana is a machine learning engineer with experience in voice AI, time-series forecasting, automation, and systems-performance benchmarking.

### What are Sanjana’s core technical strengths?

Sanjana’s strengths include time-series forecasting, class-imbalance mitigation, feature engineering, SHAP analysis, and communicating technical results clearly to stakeholders. Sanjana has worked with PyTorch, transformers, neural networks, GRUs, and a range of machine learning classifiers.

### What did Sanjana accomplish on the Honeywell alarm forecasting project?

At Vertizone Pvt. Ltd., Sanjana developed a proof-of-concept industrial alarm forecasting system for Honeywell using time-series sensor data from process control systems. The work handled 1.74 million time-series records with class imbalance and achieved 83% precision using transformers.

### How did Sanjana approach the alarm forecasting model?

Sanjana iterated from decision-tree approaches to transformer-based models for the industrial alarm forecasting system. The work also involved feature engineering, addressing class imbalance, and SHAP analysis.

### What stakeholder-facing experience does Sanjana have?

Sanjana provided weekly updates to senior Honeywell stakeholders, presenting technical results, progress, and setbacks. This experience strengthened Sanjana’s presentation skills and direct communication about challenges.

### What did Sanjana build as a Machine Learning Engineer Intern at Vertizone Pvt. Ltd.?

As a Machine Learning Engineer Intern at Vertizone Pvt. Ltd., Sanjana built a voice-based shopping assistant for visually impaired users. The assistant integrated speech input, Playwright automation, and audio feedback.

### What was Sanjana’s Data Science Intern role at Vertizone Pvt. Ltd.?

As a Data Science Intern at Vertizone Pvt. Ltd., Sanjana developed the Honeywell industrial alarm forecasting proof of concept based on process-control sensor data.

### What did Sanjana do at Plivo?

As a Forward Deployed Engineer Intern at Plivo, Sanjana worked on Voice AI solutions using Plivo Voice APIs, SIP/WebRTC, and agentic AI workflows designed for low-latency communications.

### What did Sanjana do at Hewlett Packard Enterprise?

As a Project Intern in Hewlett Packard Enterprise’s Career Preview Program, Sanjana benchmarked CPU- and I/O-intensive workloads across Java Native Threads, Java Virtual Threads in JDK 21, Golang, and Python.

### What kind of work does Sanjana want to develop further?

Sanjana has experience building proof-of-concept systems and wants to build on that foundation by learning more about real-world product development, deployment, and MLOps.

### What team environment does Sanjana prefer?

Sanjana strongly prefers larger, cross-collaborative teams over independent projects.

### What is Sanjana studying at North Carolina State University?

Sanjana is pursuing a Master of Computer Science at North Carolina State University.

### What is Sanjana’s undergraduate education?

Sanjana earned a Bachelor of Engineering in Computer Science from B. M. S. College of Engineering. The education record also lists Computer Engineering at B. M. S. College of Engineering.

### Where did Sanjana complete pre-university education?

Sanjana completed PUC in PCMC at Deeksha Centre For Learning.

### What earlier schools did Sanjana attend?

Sanjana attended junior high school at SSRVM, Bangalore South, and also attended JSS Private School, Dubai.

### What student leadership roles has Sanjana held?

Sanjana served as Joint Secretary and Student Activities Coordinator for the BMSCE IEEE Computer Society.

## Links

- LinkedIn: https://www.linkedin.com/in/sanjana-shetty-b77163212

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