Welcome to my portfolio! Here you'll find a selection of my projects, demonstrating my skills and experience in various areas of software development.
Hello! I'm Gowtham Krishna, an enthusiastic and dedicated Computer Science Engineer with a focus on Data Science. I have a proven ability in handling diverse projects involving machine learning, data analysis, and software development. I possess strong technical skills in Python, Java, and C Programming, with excellent problem-solving and teamwork capabilities. I'm passionate about leveraging technology to address real-world challenges.
Mapping and Transformation Analysis of Water Bodies using Deep Learning for Coastal Regions of Karnataka
Duration: January 2024 - May 2024
Description: Executed a groundbreaking project focused on combating water scarcity in coastal regions by employing deep learning methodologies to automate the identification and delineation of water bodies from satellite imagery.
Technologies: Python, Deep Learning
Highlights:
- Addressed critical environmental challenges such as rising sea levels and shifting shorelines.
- Provided precise mapping solutions essential for informed decision-making and sustainable water resource management.
Duration: January 2024
Description: Analyzed ground water data for the region of Karnataka based on various parameters like water level, chlorine, and more.
Technologies: Python, Streamlit
Highlights:
- Visualized ground water analysis to aid in understanding and decision-making.
Duration: June 2023
Description: Developed an Android application for NGO management. The organization can post events, and users can view event details, acting as a bridge between the NGO and the users.
Technologies: XML, Java, Android Studio, Firebase
Highlights:
- Enabled effective communication between NGOs and potential volunteers or participants.
Duration: January 2023 - February 2023
Description: Developed and implemented a database management system enabling farmers to list available produce and facilitating direct buyer-farmer communication, streamlining transactions, and enhancing market efficiency.
Technologies: HTML5, CSS3, PHP, MySQL, Microsoft Visual Studio Code, XAMPP
Highlights:
- Improved market efficiency by connecting farmers directly with buyers.
Duration: April 2023
Description: Developed a predictive model to detect heart diseases by leveraging machine learning and Python programming. The project involved data processing, cleaning, building predictive algorithms, and evaluating the model’s performance.
Technologies: Python, Pandas, NumPy, Matplotlib, Scikit Learn, Google Colab
Highlights:
- Utilized various evaluation metrics including Accuracy, Precision, Recall, F1-score, and ROC curve to assess model performance.
- Programming Languages: Python, Java, C Programming
- Frameworks & Libraries: TensorFlow, Keras, OpenCV, Flask, Streamlit
- Tools: Git, Docker, Jupyter Notebooks, Android Studio, Firebase, Microsoft Visual Studio Code, XAMPP
- Data Processing: Pandas, NumPy, Regular Expressions, Data Visualization
- Languages: English, Japanese
Feel free to reach out if you have any questions or would like to collaborate!
- Email: [email protected]
- LinkedIn: https://www.linkedin.com/in/gowtham-krishna-13a716206
- GitHub: https://github.com/gowthamkrishna555

