Hrishikesh Anil Patil

I am a Data Nerd who loves to build analytics and data systems that help organizations turn complex, high volume operational data into clear, actionable insights. My focus is on reliable pipelines, strong data integrity, well defined analytical models, and dashboards that leadership use to make decisions. I currently work on large scale retail analytics initiatives, supporting operational KPIs, experimentation, data transformation, and automated reporting across cloud data platforms and BI tools. Earlier in my career, I worked in manufacturing and financial services, where I supported analytics on industrial sensor data and enterprise risk datasets. In those roles, my work helped improve data reliability, cut manual reporting effort by 30%, and shorten analysis turnaround time for business and operations teams. Those experiences shaped how I think about data warehousing, transformation logic, and the importance of accuracy in business-critical reporting. I’m most effective in roles where I can contribute across the analytics lifecycle, from data preparation and modeling to visualization and stakeholder ready insights, while keeping scalability, consistency, and trust in the data front and center. Core Skills & Tools: • SQL, Python, PySpark, Java • Data Modeling, Analytics Engineering, Data Warehousing, Semantic Layers • ETL / ELT, Data Transformation, Data Quality & Integrity • Databricks, BigQuery, Cloud Data Platforms(Azure,AWS,GCP) • Power BI, Advanced DAX, KPI Reporting, Tableau Dashboards • Regression & Forecasting models (XGBoost, Linear, ARIMA, Prophet) • Classification (Logistic regression, Random Forest) • Experimentation Analytics (A/B Testing, Pre/Post Analysis, Multivariate Testing, DID) Feel free to reach out: patil.hrishi.a@gmail.com or call (513) 957-0422