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π Python Intern β Infosys Springboard Β |Β Nov 2025 β Jan 2026 Β |Β Virtual, India
PythonETLApache AirflowData CleaningAutomationAgile
- 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.
π€ AI & ML Intern β Edunet Foundation (Microsoft & SAP CSR Initiative) Β |Β Apr 2025 β May 2025 Β |Β Remote, Karnataka
PythonScikit-learnRandom ForestStreamlitGoogle ColabFeature 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.
π Python β Advanced OOP, Decorators, Async, Design Patterns
β Java β Core Java, Collections, Multithreading, Spring Boot
π DSA β Arrays, Trees, Graphs, Dynamic Programming, LeetCode
π Full Stack Web Dev β HTML, CSS, JavaScript, React, Node.js, REST APIs
π€ AI & ML β Supervised Learning, Neural Networks, Model Deployment
π¬ kshamanthkumar5@gmail.com Β |Β π Mysore, Karnataka, India




