Aspiring Data Scientist and Machine Learning Engineer with strong foundation in data analysis, machine learning, and statistical modeling. Successfully developed predictive models and data-driven solutions to optimize business performance. Demonstrated proficiency in Python, leveraging data visualization tools to communicate insights effectively.
1) House price prediction - developed a house price prediction model using ML techniques and EDA to identify data patterns and how factors like location, number of bedrooms, and number of bathrooms affect the pricing.
2) Song recommendation system using clustering - built a song recommendation system using clustering techniques to suggest music based on audio features, analyzing the relationship between different clustering methods.
3) Image recognition model (cat or dog) - demonstrated proficiency in deep learning, image preprocessing, and neural network design by creating an image classification model that uses convolutional neural networks (CNN) to reliably differentiate between cats and dogs.