# Shivani Chauhan

> Data Scientist & AI Engineer | Architecting Scalable ML Models & Generative AI Systems | MS @ ASU

Location: Los Angeles, California, United States
Profile: https://flows.cv/shivanichauhan

I am a Data Science graduate from Arizona State University with a passion for translating complex data into actionable insights that drive real-world outcomes. With a strong foundation in machine learning, statistical analysis, and data engineering, I have built end-to-end solutions that uncover trends, optimize processes, and support informed decision-making.

My experience includes designing predictive models using deep learning and time-series methods, performing rigorous statistical hypothesis testing, and building dynamic dashboards to communicate results effectively. I’ve deployed scalable data pipelines, applied transfer learning for adaptation across domains, and fine-tuned models to reduce error rates and improve forecasting accuracy.

I enjoy solving problems that require both analytical depth and practical thinking. Whether it’s building scalable pipelines, testing hypotheses, or communicating results clearly through visualizations, I focus on creating solutions that are both technically sound and easy to act on. I’m always interested in meaningful collaborations, whether it’s exploring new ideas, solving complex data challenges, or connecting with teams working at the edge of technology and impact. Let’s connect and build something valuable together.

## Work Experience
### Data Scientist @ Integrated.Travel
Jan 2025 – Present | Texas, United States
- Owned the technical architecture for a $2.48B capital infrastructure initiative, building the predictive machine learning pipelines that forecast long-term passenger demand and revenue generation.
- Built a scalable stochastic simulation engine to process complex longitudinal socio-economic datasets, translating massive amounts of behavioral data into precise forecasting metrics that stress-test core financial assumptions.
- Shipped an interactive analytics platform that allows stakeholders to simulate high-variance scenarios , such as shifting EV adoption rates , empowering them to dynamically optimize CAPEX/OPEX structures.
- Developed the underlying analytical frameworks to audit system bottlenecks, successfully validating a 116% Cost Recovery Ratio and ensuring strict compliance with enterprise-grade fiscal standards.

### Graduate Teaching Assistant @ Arizona State University - Department of Physics
Jan 2024 – Jan 2025 | Tempe, Arizona, United States
- Mentored 100+ students in Physics Lab, simplifying complex concepts through data-driven experiments and visual analysis.
- Collaborated with the Physics Instructional Team to validate simulations and design lab procedures that boosted engagement.
- Designed structured feedback processes, helping students improve their analytical skills and lab performance.

### Graduate Student @ Ira A. Fulton Schools of Engineering at Arizona State University
Jan 2023 – Jan 2025 | Tempe, Arizona, United States

### Industrial Automation Engineer @ Amtech Electronics India Ltd
Jan 2023 – Jan 2023 | Gujarat, India
- Developed SCADA systems and HMI interfaces for Variable Frequency Drives (VFDs), enhancing real-time monitoring capabilities.
- Optimized PLC programming logic using Ladder and Function Block diagrams, reducing operational latency by 30%.
- Automated test setups that improved production testing efficiency by 25%.
- Documented all electrical workflows and created reusable code modules for future automation tasks.
- Worked closely with cross-functional teams to troubleshoot and debug control systems in a manufacturing setting.

### Machine Learning Engineer @ Skill Safari
Jan 2021 – Jan 2021 | Tamil Nadu, India
- Developed and fine-tuned an LSTM-based stock price prediction model using the Tata Global dataset (NSE), tackling high-volatility challenges in financial data.
- Conducted EDA with Pandas and Matplotlib, identifying key trends and reducing model error through targeted preprocessing.
- Containerized and deployed the ML pipeline using Docker and Flask, enhancing real-time insights on the company’s analytics platform.
- Collaborated with senior ML engineers to streamline model integration and improve forecast responsiveness for end users.


## Education
### Master of Science - MS in Data Science, Analytics, and Engineering
Arizona State University

### Bachelor of Engineering - BE in Electronics and Communications Engineering
Gujarat Technological University (GTU)

### High School Diploma
Mount Carmel High School  Gandhinagar


## Contact & Social
- LinkedIn: https://linkedin.com/in/shivanic13
- Portfolio: https://sc13.vercel.app
- GitHub: https://github.com/shivanic02

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Source: https://flows.cv/shivanichauhan
JSON Resume: https://flows.cv/shivanichauhan/resume.json
Last updated: 2026-04-17