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SriramV1212/README.md

⚽ Make your data dance like Ronaldo at the Santiago Bernabéu—precision, power, and purpose in every move. Turn every algorithm into a masterpiece, and every line of code into a game-winning goal. ⚽

⚽ The Starting XI of Sriram Vivek ⚽

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Data Engineering | Machine Learning | Generative AI | Tech Playmaker

LinkedIn Email GitHub

```python class DataScience: def __init__(self): self.name = "Sriram Vivek" self.role = "Data Engineering and AI" self.formation = "4-3-3 (AI-Data-Engineering)" ```

🏆 Championship History (Education)

  • 🎓 Champions League: MS in Data Science @ Stony Brook University (2024-2026)
  • 🏅 World Cup: BE in Electrical & Electronics @ SSN College of Engineering (2020-2024)

🎮 Tactical Formation (Technical Skills)

🥅 Goalkeeper (Core Languages)

Python SQL R

⚔️ Defenders (Big Data & Cloud)

Apache Spark Apache Kafka Hadoop AWS

🏃 Midfielders (DevOps & Tools)

Docker Kubernetes Airflow Snowflake

⚡ Strikers (Visualization & Analytics)

Tableau Grafana Power BI

⭐ Match Highlights (Featured Projects)

🌟 Champions League Final: [AI Document Assistant]

tech_stack = ["DeepSeek 8B", "RAG", "FAISS", "LangChain"]
achievement = "Built local AI-powered document processing system"
motm = "Privacy-focused offline operation"

🏆 League Title: [Predictive Maintenance System]

accuracy = "90.56% with Random Forest"
key_stats = ["Real-time monitoring", "MQTT protocol", "Parameter analysis"]
assists = "Comprehensive maintenance predictions"

🎖️ Cup Victory: [Dynamic Sensor Pipeline]

formation = ["Apache Kafka", "MySQL", "Grafana"]
highlight = "Real-time data processing pipeline"
clean_sheets = "Scalable architecture for multiple sensors"

🌠 Super Cup: [Data Cleaning Automation]

powered_by = "Google's Gemini API"
style = "Natural language to Python conversion"
fanbase = "User-friendly Streamlit interface"

📊 Season Stats

Season Statistics

Match Streak

🏟️ Transfer Window

Always open to exciting collaborations and new challenges! Whether you're building the next big data pipeline or training cutting-edge ML models, let's create something amazing together.

```python while True: code() play_football() repeat() ```
```

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  1. Data-Cleaning-and-Automation-Tool- Data-Cleaning-and-Automation-Tool- Public

    A Generative AI-powered tool that automates data cleaning using Google’s Gemini API. Users describe tasks in natural language, and the tool generates and executes Python code to process CSV files. …

    Python

  2. Generator-Monitoring-System-using-Machine-Learning Generator-Monitoring-System-using-Machine-Learning Public

    Involves developing an ML model using data obtained from an electronic governor followed by training and testing with Machine Learning Algorithms for predictive maintenance of diesel generators

    Python

  3. Dynamic-Sensor-Data-Pipeline Dynamic-Sensor-Data-Pipeline Public

    Forked from Sethuram2003/Dynamic-Sensor-Data-Pipeline

    A real-time data pipeline using Kafka, where sensor data is produced by a Kafka producer, consumed by a Kafka consumer, and stored in a MySQL database. The data is visualized in Grafana for monitor…

    Python

  4. Local-AI-Powered-Document-Assistant Local-AI-Powered-Document-Assistant Public

    A privacy-focused AI tool built with DeepSeek 8B (via Ollama) and Retrieval-Augmented Generation (RAG). It processes unstructured documents, enabling semantic search and summarization using FAISS a…

  5. Machine-Learning Machine-Learning Public

    This repository is a collection of my machine learning projects, documenting my journey from foundational techniques like Linear and Logistic Regression to advanced methods like Random Forests and …