Sai Akhil M C
AI/ML Engineer
Education
BE
2024
Global Academy of Technology
Pursued AI and Data Science
Secondary School
2020
Kumarans College
Pursued PCMCs
Work & Experience
Data Science Intern
September 18, 2023 - October 22, 2023
National Institute of Technology Karnataka, Surathkal
• Project: Rare Sound Event Localization and Detection • Developed a novel algorithm for rare sound event detection achieving a high accuracy rate. • Improved the localization module significantly and extracted features using various Spectrograms. • Tools and Technologies: Python, Spectrogram Analysis, data mining, statistical analysis. • [GitHub Repository]( https://github.com/SaiAkhilMC/RareSoundEventLocalizationAndDetection)
Portfolio
Skills
sql
data analysis
python
eda
tableau
powerbi
machine learning
deep learning
computer vision
gpt
flask
dbms
html
css
javascript
excel
pretrained models
Awards
Presenter, ICKECS Conference
2024
• Project: Medical Image Synthesis Using DCGAN for Chest X-Ray Images
• Trained the model on a dataset of real chest X-rays, enabling the DCGAN to produce synthetic images for
potential applications in data augmentation for medical image analysis tasks.
• Tools and Technologies: Python, TensorFlow, Keras, DCGAN, data visualization
• [GitHub Repository]( https://github.com/SaiAkhilMC/DC-GAN)
• [Paper Link]( https://ieeexplore.ieee.org/abstract/document/10617031/)
Presenter, CIISCA Conference
• Project: Heart Failure Analysis and Prediction
• Presented an in-depth study of heart failure data and introduced a novel predictive model to forecast heart
failure occurrences.
• Shared approaches for data preprocessing and feature selection, enhancing the understanding of heart failure
dynamics.
• Tools and Technologies: Python, Scikit-learn, Pandas, Matplotlib, predictive analytics, data visualization
• [Paper Link](https://ieeexplore.ieee.org/abstract/document/10403563/)
• [GitHub Repository]( https://github.com/SaiAkhilMC/HeartFailureUsingMachineLearningAlgorithms)