Sukritin Gupta

About Sukritin Gupta

I’m a data and analytics professional with 6+ years of experience translating complex information into meaningful business outcomes. My work spans energy, healthcare, insurance, and consumer industries—building scalable data pipelines, developing predictive models, and delivering insights that drive smarter decision-making.From integrating turbine telemetry with weather forecasts to streamlining SAP data for executive dashboards, I specialize in building clean, efficient ETL workflows and analytics solutions. I’ve worked hands-on with Python, SQL, PySpark, Databricks, Azure, and Power BI—delivering results across asset performance, operational reporting, and customer behavior analysis.What sets me apart is my ability to collaborate across engineering, product, and leadership teams—bridging the gap between raw data and real-world impact. I thrive in dynamic environments where strategy meets execution, and where data can drive both innovation and clarity.Outside of work, I enjoy spending time on the golf course—it\'s where I recharge, think creatively, and apply the same strategic mindset I bring to solving data problems.Let’s connect if you’re working on data transformation, scaling analytics, or just want to talk data, dashboards, and decision-making. Email: s••••••••@gmail.com LinkedIn:

Experience

1. Senior Data Scientist

   MidAmerican Energy Company

   Mar 2025 — Present · Des Moines, IA, US

   Designed and executed a PySpark-based pipeline to identify fault events in wind turbines, integrating continuous 20-minute condition monitoring with statistical analysis for reliable event recovery. • Enhanced detection logic for derate events by incorporating windspeed thresholds and asset-specific behavior, aligning with exploratory data analysis techniques used in manufacturing process optimization. • Developed a weather bias correction pipeline using forecasts and station telemetry, applying statistical methods to compute MAE, RMSE, MBE, and MPB and comparing predicted versus actual wind power. • Automated end-to-end data ingestion and evaluation on Databricks and Azure, demonstrating proficiency in building scalable ETL processes and robust Python-based data integration. • Improved event tracking consistency by addressing anomalies such as irregular timestamps, jitter, and incomplete fault closures, reinforcing data quality and accurate downstream analysis. • Streamlined weekly reporting pipelines with ADF and Delta tables, facilitating data integration and automated report generation for enhanced operational insights. • Developed a Power BI dashboard prototype for PAC stakeholders by integrating SAP financials with project forecasts, supporting data visualization and drill-down analysis for KPI monitoring.

Education

• Guru Gobind Singh Indraprastha University

  Bachelor of Technology, Mechatronics, Robotics, and Automation Engineering

  2012 — 2017

• University of Connecticut

  Master of Science - MS, Business Analytics and Project Management

  2020 — 2021

• Ahlcon Public School

  High School

  2010 — 2012