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  • Mysore, Karnataka, India

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Shamanth-Kumar-K/README.md


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πŸ‘¨β€πŸ’» About Me

class ShamanthKumarK:
    def __init__(self):
        self.name     = "Shamanth Kumar K"
        self.location = "Mysore, Karnataka, India"
        self.email    = "kshamanthkumar5@gmail.com"

        self.stack = [
            "Python", "Machine Learning",
            "Java, Javascript",
            "HTML","CSS", "Streamlit",
            "Arduino", "SQL"
        ]

        self.currently_learning = [
            "Data Structure and Algorithms",
            "Full stack web development",
            "Artificial Intelligence",
        ]

        self.fun_fact = (
            " I love turning ideas into working projects!"
        )

    def motto(self):
        return "Build. Break. Learn. Repeat."

me = ShamanthKumarK()
print(me.motto())


πŸ› οΈ Tech Stack

Languages

Python Java Javascript HTML

Frameworks & Libraries

Scikit-learn grade Arduino CSS

Cloud & Tools

Google cloud Docker MySQL Firebase android studio postgres SQL Grafana

Developer Tools

Git GitHub VS Code PyCharm


πŸ“Š GitHub Stats


πŸ”₯ Streak Stats

GitHub Streak

πŸ“ˆ Activity Graph


πŸ† Trophy Wall


πŸ’Ό Work Experience

🐍 Python Intern β€” Infosys Springboard Β |Β  Nov 2025 – Jan 2026 Β |Β  Virtual, India

Python ETL Apache Airflow Data Cleaning Automation Agile

  • Performed data cleaning, validation, and transformation using Python scripts, improving data quality and consistency across multiple sources.
  • Collaborated in an agile virtual environment to implement reusable ETL components, enabling faster iteration and onboarding of new data sources.
  • Implemented an automated email alert system for Apache Airflow DAGs, reducing ETL pipeline failure detection time by 30%.
  • Ensured 99.9% data quality for analytics dashboards through robust pipeline monitoring.
πŸ€– AI & ML Intern β€” Edunet Foundation (Microsoft & SAP CSR Initiative) Β |Β  Apr 2025 – May 2025 Β |Β  Remote, Karnataka

Python Scikit-learn Random Forest Streamlit Google Colab Feature Engineering

  • Developed a Personal Fitness Tracker that predicts calories burned based on user inputs (age, gender, heart rate, activity type) using Random Forest regression.
  • Preprocessed and engineered features from fitness datasets, achieving high prediction accuracy through hyperparameter tuning.
  • Built and deployed an interactive Streamlit web application on Google Colab for real-time calorie predictions with a clean user interface.

🌱 Currently Learning

🐍 Python                 β†’  Advanced OOP, Decorators, Async, Design Patterns
β˜• Java                   β†’  Core Java, Collections, Multithreading, Spring Boot
πŸ“ DSA                    β†’  Arrays, Trees, Graphs, Dynamic Programming, LeetCode
🌐 Full Stack Web Dev     β†’  HTML, CSS, JavaScript, React, Node.js, REST APIs
πŸ€– AI & ML                β†’  Supervised Learning, Neural Networks, Model Deployment

"The best way to predict the future is to build it β€” one model at a time."

πŸ“¬ kshamanthkumar5@gmail.com Β |Β  πŸ“ Mysore, Karnataka, India

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