Sai Padamati

About Sai Padamati

Data Engineer with 4+ years of experience in data engineering, analytics, and data science, specializing in building scalable data solutions. Strong expertise in designing, implementing, and optimizing data pipelines, machine learning models, and business intelligence solutions across cloud platforms (Azure, AWS, GCP). Proficient in SQL, Python, Scala, Databricks, and various ETL/ELT frameworks. Experienced in data visualization, predictive analytics, and data governance, enabling data-driven decision-making for organizations Proficient in Python, SQL, Spark (Scala/PySpark), and Databricks, with hands-on expertise in cloud data platforms, data modeling, and analytics. Experienced in working with structured and unstructured datasets, ensuring high-performance data processing, and enabling data-driven decision-making. Committed to continuous learning and innovation, I thrive in collaborative environments, working with cross-functional teams to solve complex data challenges and build high-performance data ecosystems.

Experience

1. Ai Ml Engineer

   ArchKey Solutions

   Mar 2024 — Present · US

   Developed and deployed a real-time recommendation engine leveraging collaborative filtering, deep learning, and XGBoost on AWS SageMaker. Prototyped and implemented machine learning and NLP models for predictive analytics and sentiment analysis using Python. Automated model retraining and production deployment via CI/CD pipelines with Jenkins and Docker. Applied supervised, unsupervised, and reinforcement learning techniques. Collaborated with data scientists to scale Jupyter-based experiments to production, achieving significant gains in model accuracy and system efficiency. Used tools like Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn throughout the project.

Education

• Vishnu Institute of Technology (Autonomous)

  Bachelor's degree

• Roosevelt University

  Master's degree

  2023 — 2024