S

Swathi Kunisetti

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Eden Prairie, Minnesota, United States

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work
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Résumé

Jobs verified_user 0% verified
  • W
    Data Engineer
    Worthington Industries, MN
    May 2025 - Current (1 year 3 months)
    • Partnered with supply chain, operations, and finance teams to resolve data inefficiencies in Azure SQL and Synapse Analytics, optimizing T-SQL queries to improve retrieval performance, accelerate access to real-time insights, and support more accurate decision-making. • Led the overhaul of manual forecasting processes by automating data workflows with Azure Data Factory and Python, reducing delays and improving inventory predictions for more reliable resource planning. • Developed data solutions in Azure Data Lake to transform unstructured data into actionable insights, improving warehouse space utilization and overall operational efficiency. • Worked with large datasets in Azure Databricks, using SQL for data cleaning and validatio
  • Qventus, Inc
    Data Scientist
    Qventus, Inc
    Feb 2024 - May 2025 (1 year 4 months)
    • Built and deployed a patient flow forecasting model in Python on AWS SageMaker using hospital operations data, giving care teams a repeatable way to anticipate demand and support day-to-day resource planning and staffing decisions. • Wrote SQL scripts, stored procedures, and AWS Glue jobs to clean, standardize, and transform large healthcare datasets, while using SQL Server Data Quality Services to fix inconsistent patient records before they reached downstream forecasting pipelines. • Tested SARIMAX, Prophet, and LSTM models for time-series forecasting, comparing them on forecast accuracy, interpretability, and production fit, then selected the approach that best balanced real-world performance with maintainability in a hospital se
  • R
    Software Engineer
    RealPage India
    Aug 2020 - Nov 2022 (2 years 4 months)
    • Developed a scalable Al inference system for smart surveillance, leveraging OpenCV, Nvidia Deepstream SDK, and PostgreSQL to enable real-time incident analysis. • Built a streaming platform with Apache Kafka and Python to handle over 50 concurrent video streams, reducing latency to 4 seconds and enhancing incident reporting by 30%. • Created a Drone Safety Compliance System using Django and MAVLink protocol to ensure regulatory compliance, boosting operational safety by 20%. • Collaborated with cross-functional teams for rigorous testing, improving alert accuracy and reducing unauthorized flight zone breaches by 60%. • Optimized GPU-accelerated surveillance models with CUDA and TensorRT, achieving a 35% increase in processing speeds.
Education verified_user 0% verified
  • C
    Masters in Information Technology & Management
    Concordia University St. Paul, MN
  • P
    Bachelors in Information Technology
    Pace Institute of Technology and Sciences