Dhairya Patel

Most dashboards tell you what happened. I build systems that tell you what to do next. I’m a Data Analyst and MSc Data Science candidate who turns raw, messy data into scalable pipelines, predictive models, and decision-ready dashboards. I work across Python, SQL, and AWS (Glue, Athena, S3) to design ETL workflows, build machine learning models, and create visualizations in Power BI and QuickSight that leaders can actually use. My work sits at the intersection of analytics and engineering. I’ve processed 500K+ records through AWS-based ETL pipelines, improved forecasting accuracy by 18% using LSTM and ARIMA models, increased model R² by 22% through feature engineering, and reduced manual reporting time by 75% with automated BI dashboards. From energy consumption forecasting to road risk classification (F1-score 0.96) to sales intelligence reporting, I focus on measurable impact — not just model accuracy. Previously, as a Python Developer, I optimized data crawling systems and reduced execution time by 30%, strengthening my foundation in automation and performance engineering. Right now, I’m looking to contribute to data-driven teams where analytics drives real business decisions. I’m especially excited about roles in Data Analytics, Business Intelligence, or Analytics Engineering where I can build scalable data systems and deliver insights that move the needle. Let’s build smarter systems with data.