Aayushi Nahar

I'm a Data Science Analyst with 4 years of experience in Python, machine learning, and generative AI, currently at John Deere Tech India. I build end-to-end ML pipelines using PySpark, Databricks, XGBoost, and Random Forest, working with large-scale agricultural and IoT/telematics data. I'm comfortable across the ML lifecycle — from data engineering and feature design to model training and evaluation. Most recently, I built a GenAI decision intelligence platform prototype using RAG techniques and LLM-based reasoning over agricultural data — designing retrieval pipelines and evaluating LLM performance on domain-specific reasoning tasks. My Databricks-based workflows have also given me exposure to cloud-based ML infrastructure and pipeline orchestration. I'm looking for Data Scientist, ML Engineer, or GenAI-focused roles — remote or hybrid — where I can deepen my MLOps and cloud deployment skills while continuing to build on Python, ML, and applied GenAI work.