I am a Data Science and AI student in Toronto with an undergraduate degree in Computer Science. My experience as a Business Analyst in the retail (textile) sector has allowed me to generate strategic applications of analytics to enhance business performance. I leveraged data to provide personalized product recommendations, segment their customer base, and identify emerging market opportunities. This data-driven approach empowers companies to make informed decisions in purchasing and marketing strategies, ultimately leading to increased return on investment(ROI).I am proficient in handling various data types, including structured, unstructured, and image data, across Data Lakes, Databases, and Warehouses. My expertise includes SQL, Big Data, and Machine Learning algorithms using Python. I am proficient in supervised learning algorithms such as regression (linear, ARIMA), logistic regression, KNN, SVM, decision trees, and ensemble methods (Bagging/Boosting).Additionally, I have in-depth understanding of unsupervised learning algorithms, including clustering and anomaly detection. Furthermore, I have knowledge of Computer Vision, utilizing CNNs and RNNs for image classification and YOLO for object detection. With my expertise in data processing and model development, I hope to work in an environment where I can extract valuable insights and construct customized predictive models that align with business objectives and contribute positively to the world.