Software Developer | Aspiring Data Scientist & ML Engineer
Passionate about leveraging machine learning to solve real-world problems and extract meaningful insights from data.
I'm a software developer transitioning into the exciting world of data science and machine learning. With a strong foundation in programming and problem-solving, I'm passionate about applying ML techniques to create intelligent solutions.
My journey into machine learning has been driven by curiosity and the desire to build systems that can learn, adapt, and make predictions from data. I combine my software engineering background with newfound expertise in statistics, algorithms, and data analysis.
Built a convolutional neural network to classify CIFAR-10 images. Achieved 85% accuracy in only 30 epochs using advanced techniques such as learning rate scheduling and data augmentation.
Built a model to predict customer churn for a Telecommunications company. Tested many models to determine the best fit for the data. Achieved 89% recall through a combination of EDA, feature engineering, data balancing, and hyperparameter tuning.
Developed a multi-class sentiment analysis model using BERT and transformers. Processed 100k+ reviews with 89% accuracy on test data.
Implemented a real-time object detection system using YOLO v5. Optimized for edge deployment with 30+ FPS performance on mobile devices.