Athaya Hanif

Machine Learning Engineer.
Data Scientist.

I design and build intelligent systems that solve real-world challenges, turning complex data into impactful solutions.

See My Work
Your Name

A bit about me.

I'm a Machine Learning Engineer with a passion for Deep Learning and Data Science. My expertise lies in architecting and deploying robust models that drive innovation and efficiency. I thrive on transforming theoretical concepts into tangible, high-impact applications.

As a Machine Learning and Data Science practitioner, I’ve engineered effective solutions across multiple domains—from tabular predictive models and computer vision pipelines to NLP tasks. Equipped with a hands-on approach and strong problem-solving skills, I’m always eager to tackle the next big AI challenge and make a measurable impact.

Selected Projects.

Project 1 Visual

Speech Emotion Recognition (Audio Based)

Developed a Speech Emotion Recognition (SER) system leveraging Mel-Frequency Cepstral Coefficients (MFCC) for effective audio feature extraction, processed through a Convolutional Neural Network (CNN) to classify core emotions such as happiness, anger, sadness, and neutrality.

Lung sound spectrogram and stethoscope

Lung Sound Classification Based on Audio

Lung Sound Classification Model based on respiratory audio using CNN-BiGRU architecture with adaptive denoising pipeline

Project 3 Visual

Smoker Classification

Classifies weather a person is a smoker based on body signals using Naive Bayes Algorithm

Core Competencies.

I have experience with a wide range of technologies in the AI and data ecosystem.

Languages

  • Python Python
  • SQL SQL
  • JavaScript JavaScript
  • C++ C++

Frameworks

  • PyTorch PyTorch
  • TensorFlow TensorFlow
  • Scikit-learn Scikit-learn
  • Matplotlib Matplotlib

Tools

  • Docker Docker
  • Git Git & GitHub
  • AWS AWS / GCP
  • Kubernetes Kubernetes

Databases

  • PostgreSQL PostgreSQL
  • MongoDB MongoDB
  • BigQuery BigQuery
  • Redis Redis