🎓 Master’s Student in Data Science and Analytics | California State University, Chico (2024–2026)
💻 Data Science Intern at Center for Healthy Communities – Working on CalFresh participation & food insecurity research
📊 Ex-System Engineer at Infosys – Automation, ETL, ML Integration
🚀 Passionate about AI, Machine Learning, and Data-Driven Solutions
🔹 AI assistant integrating LLMs, vision, and automation to execute 100+ system-level operations.
🔹 Reduced latency by 60% with parallel processing.
🔹 Built voice, text, vision multimodal interactions for workflow orchestration.
🔹 Used R (t-tests, ANOVA, GLM, regression) to analyze effects of periodontal therapy on gestational age.
🔹 Data wrangling & visualization with ggplot2, dplyr, tidyr.
🔹 Identified predictors of preterm birth contributing to public health research.
🔹 Built models analyzing SNAP/CalFresh participation & equity gaps.
🔹 Supported data-driven outreach strategies to improve food access.
🔹 Worked on survey data, eligibility, attitudes, demographics, and behavioral outcomes.
🔹 Hands-on geospatial analysis, visualization, and predictive modeling for transportation safety.
🔹 Developed Python-based ETL testing tool → reduced QA effort by 60%.
🔹 Built Selenium web scraper for Power BI validation → cut turnaround time by 70%.
🔹 Optimized ETL pipelines in Azure Databricks (PySpark & Scala).
🥈 2nd Place – CSU Sacramento Startup Challenge (data-driven real-world solution)
🏅 Insta Award at Infosys – resolved high-priority issues, boosting workflow efficiency by 30%
🤝 Team Lead at Tata Motors – managed 30+ employees, reduced production cycle time by 15%
- Generative AI & Large Language Models
- Data equity & food insecurity research
- Scalable cloud-based data pipelines
⭐️ Always open to collaborations and research opportunities in AI & Data Science!