Raka D.

About Raka D.

I’m a data-driven problem solver who genuinely enjoys taking messy, chaotic datasets and turning them into models, insights, and systems that actually make sense. I work across machine learning, analytics, and automation; building everything from predictive maintenance models to LLM-powered summarizers and large-scale operational dashboards.My experience ranges across Amazon, automation, marketing, and agriculture research, giving me a pretty wild mix of domains. Whether it’s forecasting delays across EU yards, optimizing neural networks for machine efficiency, or analyzing a century of agricultural production data; I love work that forces me to think deeper and engineer smarter.On the ML side, I’ve built models using XGBoost, Random Forests, ANN/RNN architectures, hybrid ARIMA systems, and more recently, LangChain-based LLM pipelines. On the analytics side, I’ve worked end-to-end: ETL, QA, SQL pipelines, segmentation, dashboarding, and reporting automation using tools like Redshift, QuickSight, Power BI, and Python.What actually drives me is the impact - faster systems, cleaner data, better predictions, fewer bottlenecks, and insights that make teams go. Right now, I’m working as a Business Analyst Intern at Amazon, where I spend most of my days building dashboards, cleaning complex datasets, automating reporting, and spotting operational patterns across business.

Experience

1. Business Analyst Intern

   Amazon

   Jan 2026 — Present · Hyderabad, IN

Education

• SYMBIOSIS INTERNATIONAL UNIVERSITY

  Master's degree, Statistics

• Symbiosis Statistical Institute, Pune

  Master's degree, Applied Statistics

  2024 — 2026

• University of Calcutta

  Bachelor's degree, Statistics

  2020 — 2023