Software Engineer

• May 2021 - Present

- Perform data collection, EDA, feature engineering, model training, deployment and maintenance of Houzen's AI Valuation Property Price Prediction model for UK real-estate - Built and Launched Supervised Learning Real Estate price prediction model for Houzen BuySide based out of London, UK - Proficiently adapted Google Data Studio for creating effective visualizations to showcase model performance, traction on AI Valuations on houzen deals(deals.houzen.co.uk) platform. - Proactively facilitated collaboration with multiple industry partners for their specialized services - Assist in end-to-end release of business requirements, from creating user stories to sprint planning and working with both technology and business teams - Develop business understanding to be able to create white papers on the applications of AI/ML in the real estate industry and perform EDA on enormous amount of real-time and sold property market data - Produce exact documentation of the technology and process behind ML modelling - Weapons at work: Python, Pandas, Scikit, GCP AutoML, GCP Vision API(OCR), Google Data Studio, GBMs, Jupyter Notebook/Lab, Git, GitHub, Visual Studio Code, Postman, Jira, Confluence Show less