As a Product Manager at Bianco Net, I apply my data science skills and web development knowledge to create innovative solutions for the finance and hospitality industry. I designed and built a web application that automates the tax submission process by exchanging sales, inventory, and financial data of organizations with third-party applications through a data pipeline. This reduced development costs by 25% and eliminated 90% of manual data errors. I have a Master of Science in Data Science from The University of Salford, where I gained expertise in machine learning, statistical modeling, data mining, and big data analytics. I have used various tools and technologies, such as Python, Django, R, SAS, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, MySQL, MongoDB, Hadoop, Hive, Spark, Tableau, PowerBi, Matplotlib, Seaborn, and GGplot, to work on various projects and competitions. Some of my notable achievements include: predicting loan risk and crime using Google Vertex AI and AWS, retrieving data from Cord-19 dataset using PySpark and Hive, and predicting heart disease and bulldozer prices using scikit-learn and matplotlib. I am passionate about the stock market and have developed a dashboard for fundamental and technical analysis of S&P 500 and Nasdaq stocks, using sentiment analysis from top 10 news related to the stocks. I am always eager to learn new skills and technologies, and to collaborate with other professionals and experts in the field. My goal is to leverage my data science and web development skills to create impactful and user-friendly products that solve real-world problems and add value to the society.