Headline

Data Scientist at VIRGIO

About

With a deep interest in Data Science, Artificial Intelligence, and Analytics, I am an undergraduate student at BITS Pilani pursuing a Dual Degree in Mathematics and Mechanical Engineering. I am fascinated by the ways data and intelligent systems can be harnessed to solve complex challenges—whether through building forecasting models, designing agentic AI pipelines, or uncovering insights from real-world datasets. I have explored these interests through experiences with EY and Deloitte, where I contributed to projects spanning climate risk analytics, data engineering, and cloud-based solutions. These opportunities strengthened my ability to think critically, adapt quickly, and translate technical depth into practical outcomes. Curious, enthusiastic, and driven by continuous learning, I am eager to grow at the intersection of data and innovation—taking on opportunities where I can contribute meaningfully while deepening my expertise in AI and advanced analytics.

Location

Mumbai

AI stack

anthropic apis

claude code

claude

cursor

gemini

grok

Work experience

Data Scientist at VIRGIO, Jun 2026 - Present · 4 mos, Bengaluru

Data Science and AI Intern at VIRGIO, Jul 2025 - Jun 2026 · 1 yr, On-site, - Developing an AI-driven trend forecasting model to provide early signals for designers, ensuring collections stay aligned with fast-evolving fashion trends. - Building trend agents, runway scrapers, and social media scrapers to capture and process large-scale fashion data streams. - Designing sales forecasting models to predict product performance across regions based on historical purchasing behaviour. - Conducting demand forecasting for new launches, integrating insights from historical data, competitor performance, and global trend movements to guide inventory and marketing decisions.

Project Intern at EY, Aug 2024 - Sep 2024 · 2 mos, Mumbai, Maharashtra, India, - Conducted a comprehensive analysis of drought risk under climate change scenarios, focusing on how water stress could impact credit portfolios in the banking sector. - Used SQL and Excel for data extraction, cleaning, and modeling; visualized outputs through Looker Studio dashboards for communicating risk insights. - Performed SPI (Standardized Precipitation Index) and SPEI (Standardized Precipitation Evapotranspiration Index) computations using R to assess historical and projected drought severity across India. - Compared climate projections (SSP5-8.5 scenario) using CMIP6 datasets, identifying patterns in precipitation vs. evapotranspiration to forecast post-monsoon water stress. - Gained hands-on experience at the intersection of climate analytics and financial consulting within a fast-paced project environment.

Intern at Deloitte, May 2024 - Jul 2024 · 3 mos, Mumbai, Maharashtra, India, - Worked in the Technology and Transformation vertical, supporting client-facing data projects within the consulting function. - Gained hands-on learning in building ETL pipelines using Microsoft Azure Data Factory, understanding data injection, modeling, and validation workflows. - Learned how to use Microsoft Fabric to orchestrate and monitor data workflows within cloud-based architectures. - Contributed to optimization discussions and developed sample scripts for data validation and transformation tasks. - Developed a solid foundation in data engineering practices, while gaining exposure to consulting delivery models and team collaboration.

Data Analyst Trainee at MedTourEasy, Feb 2024 - Feb 2024 · 1 mo, Remote, Throughout the traineeship, I delved deep into Data Anlaysis, gaining invaluable hands-on experience and honing my skills in Data Visualization and coding in Python. I worked under the supervision of project mentor & developed the project entitled “Analyze Death Age Difference of Right Handers with Left Handers”.

Summer Intern at Kotak Education Foundation, May 2023 - Jul 2023 · 3 mos, Mumbai, Maharashtra, India, - Interned under the Model School Intervention program, a new initiative focused on improving learning outcomes and operational efficiency in underserved schools. - Assisted in mapping and documenting end-to-end operational processes, including teacher monitoring, attendance tracking, and feedback workflows. - Used Advanced Excel for data cleaning and reporting, SurveyCTO for digitized field data collection, and Tableau for exploratory data visualization. - Learned how to design data pipelines for education program monitoring, and practiced identifying key performance indicators (KPIs) relevant to school-level interventions. - Gained exposure to impact measurement frameworks, project documentation, and the use of data to inform decision-making in the education development sector.

Education

Master of Science - MSc, Mathematics, Birla Institute of Technology and Science, Pilani

Ryan International School Kandivali