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saivikasreddy717/README.md

πŸ‘‹ Hi there, I'm Sai Vikas Reddy Yeddulamala (@saivikasreddy717)

πŸ” About Me

I'm a Data Scientist with over 2 years of experience crafting end-to-end machine learning solutions, specializing in NLP, real-time fraud detection, and scalable ML pipelines. I'm passionate about leveraging AI to solve complex problems, enhance operational efficiency, and drive strategic decisions.

🌱 Currently Learning

I'm pursuing my Master's in Computer Science with a concentration in Data Science at North Carolina State University, deepening my expertise in machine learning, large language models, and data engineering.

πŸ’‘ Interests

  • Machine Learning & AI
  • Natural Language Processing
  • Real-time Data Pipelines
  • Cloud Architecture (AWS, Azure, GCP)
  • MLOps and DevOps Practices

πŸš€ Skills

  • Languages & Frameworks: Python, R, PySpark, PyTorch, TensorFlow, LangChain, Django, Flask, FastAPI
  • Databases: MySQL, MongoDB, Snowflake, Azure Cosmos DB
  • ML Techniques: NLP, Time-Series, Computer Vision, Reinforcement Learning, Anomaly Detection
  • Cloud & Tools: Azure, AWS, GCP, Docker, Kubernetes, MLflow, Apache Kafka, Tableau, Power BI

🎯 Projects Highlights

  • Agentic Underwriting: Autonomous AI system using Gemini 2.0 Flash and FinBERT for loan compliance automation.
  • Adaptive Fraud Detection: Real-time anomaly detection pipeline using Anomaly Transformer and XGBoost, deployed via Kubernetes.
  • Supply Chain Forecasting: Time-series forecasting (ARIMA, Prophet) integrated with reinforcement learning for dynamic inventory optimization.
  • NLP to CLI Commands: Context-aware NLP model translating natural language into accurate CLI commands using transformer models.

🀝 Collaboration

I'm always open to collaborating on exciting AI, NLP, or cloud-based projects. Feel free to reach out if you're interested in working together!

πŸ“« How to Reach Me

πŸ˜„ Pronouns

He/Him

⚑ Fun Fact

I'm passionate about building AI tools that transform tedious tasks into delightful interactions!

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