Tania Hossain

Recent graduate with a degree in Software Engineering seeking a challenging role as a Quantitative Software Engineer at Ticker Trends. Adept at Python machine learning frameworks, full-stack web development, API integration, SQL, AWS (EC2), Git, web scraping, and possessing a foundational understanding of financial market concepts. Eager to apply academic knowledge and contribute to the innovative projects at TickerTrends.

• Developed a machine learning model in Python to predict stock prices based on historical data
• Utilized TensorFlow and scikit-learn for model implementation and evaluation
• Presented findings and insights in a comprehensive project report
• Created a full-stack web application using React and Flask to visualize financial market trends
• Implemented dynamic charts and graphs, allowing users to explore historical data interactively
• Studied advanced concepts in machine learning, including regression, classification, and neural networks
• Gained practical experience in designing and querying relational databases
• Explored frontend and backend frameworks, focusing on creating dynamic and responsive web applications
• Cloud Computing: Acquired a basic understanding of cloud computing concepts, with a focus on AWS EC2
• Developed a web scraping tool using Beautiful Soup and Selenium to extract financial data from websites
• Implemented data cleaning and preprocessing techniques to ensure accuracy and reliability
• Designed and deployed a personal portfolio website showcasing academic projects, technical skills, and a blog section to share insights on software development and financial technology
• Contributed to open-source projects on GitHub to enhance coding skills and community involvement.