My Work
Comparative Analysis of Machine Learning Models for Solar Power Prediction
Comparison of Lasso regression and k-Nearest Neighbors models to predict DC power generation from a solar plant, achieving best performance with kNN CV model using hourly data.
- Python
- Machine Learning
- Time Series Analysis
Aerial Cactus Identification
A custom CNN architecture for columnar cactus identification from aerial imagery, achieving 99% accuracy and an ROC/AUC score of 1.0.
- Python
- Deep Learning
- Computer Vision
Anomaly Detection in Audio Signals
Convolutional Autoencoders and Variational Autoencoders for audio anomaly detection, achieving 88.8% AUC score for detecting anomalies in industrial machine sounds.
- Python
- PyTorch
- Machine Learning
Tweet Sentiment Analysis
A BERT-based model for tweet sentiment classification, achieving 78% F1-score and comparing performance with traditional NLP approaches.
- Python
- Natural Language Processing
- Deep Learning
About Me
I am a Data Science enthusiast pursuing a Master's in Computer Science at EURECOM, France. With over 2 years of experience in SAP Analytics, I have developed a strong foundation in data analysis, machine learning, and AI. I am proficient in data cleaning, visualization, modeling, and ETL processes. My goal is to leverage my skills in a challenging Data Science role to drive data-driven decision-making and innovation.
My ResumeGet in Touch
Are you looking for a data-driven professional to help solve complex problems or drive insights from your data? Or just want to say "Hi 👋"? Feel free to reach out, and I'll get back to you as soon as possible.
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