Sathwik Vardhan Reddy POTHIREDDY

Experienced and dependable general worker with a proven track record of efficiently completing tasks in various settings. Skilled in manual labor, equipment operation, and maintaining a clean and organized workspace. Safety-conscious with a strong work ethic and the ability to adapt to different environments. Ready to contribute to a dynamic team and make a positive impact. Results-driven Data engineer known for high productivity and efficient task completion. Skilled in big data processing frameworks like Hadoop and Apache Spark, database management using SQL, and data visualization with tools such as Tableau. Excel in problem-solving, collaboration, and adaptability to leverage technical skills in developing innovative data solutions across diverse environments.

• Sentimental Analysis on Amazon Reviews (Machine Learning)
  Explored advanced models like BERT, RoBERTa, RNN, and LSTM.
  Primarily leveraged BERT for deep contextual sentiment understanding.
  Significantly improved model performance on real-world Amazon review data.
• Inventory Management (Advanced Database Organization)
  Optimized the web checkout process.
  Handled payment transactions and maintained detailed payment records to ensure smooth and secure operations.
  Streamlined the purchase flow, enhancing the overall user experience.
• Chicago House Price Prediction (Data Preparation and Analysis)
  Utilized R and Kaggle datasets to forecast housing prices.
  Imported, cleaned, and prepared data for analysis.
  Trained predictive models using R’s machine learning libraries and built trend visualizations to improve model interpretability.
• SparklingScript: A Domain-Specific Language for Generating Apache Spark Code (Big Data Technologies)
  Role: DSL Developer and Big Data Engineer.
  Designed and developed parsing and code generation modules using Python and ANTLR.
  Created a user-friendly syntax for data analysts, supported testing, error handling, and documentation for robust deployment.

• Published research paper: "FULLY AUTOMATED SMART CROP FIELD PROTECTION SYSTEM" — focused on real-life crop protection from animals using sensors.