Shivani Chauhan

About Shivani Chauhan

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.

Experience

1. Lead Data Scientist

   Integrated.Travel

   Jul 2025 — Present · TX, US

   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.

Education

• Arizona State University

  Master of Science - MS, Data Science, Analytics, and Engineering

• Mount Carmel High School Gandhinagar

  High School Diploma

  2015 — 2019

• Gujarat Technological University (GTU)

  Bachelor of Engineering - BE, Electronics and Communications Engineering

  2019 — 2023