Nexus Urban Development is a privately held real estate development company. Our mission is to revolutionize urban living with sustainable, technology-empowered housing solutions that seamlessly blend convenience, affordability, and flexibility. We aim to create vibrant and eco-friendly communities that empower individuals to live purposefully and prosper sustainably while inspiring a global shift towards a greener and more inclusive urban lifestyle.

- Manage an investment portfolio of over 80 coliving multifamily development projects across the country, $400M total asset value.- Setup strategic goals for company expansion and product iteration, oversee the execution of development plans, collaborate with other key members to ensure successful delivery of all projects.- Real estate development fund management, General business management, Strengthen local resources and reinforce competition barrier, Risk management and mitigation

== Project Financial Analyst ==Devise, apply, maintain, and modify core analytical model libraries to assess the risk and profitability of each potential opportunity. Interpret results of financial analysis procedures. Apply sensitivity analysis and Monte Carlo model to reveal, assess and manage the risk of proposed development project. == Real Estate Data Analyst ==Make statistical inferences to support decision making process. Perform data mining, cleaning, and exploratory analysis of internal user data. Conduct data analysis to reveal current market facts and ongoing trends, and recommend development strategy. Continually identify business challenges and lead data team to present ad-hoc data analyses.== Fund Management ==Raised over $80M in total for real estate fund and over 30 development projects by giving presentation and elaborating on term sheet, OM and pro forma to limited partners. Produce OM and periodic investment report for LPs. Manage investors relationship and provide advice on tax issues such as 1031 exchange and tax reporting.== Real Estate Project Management ==Identify, track, and maintain metrics for ongoing projects. Design and develop dashboard with dynamic charts and pivot tables for projects performance and financial metrics. Facilitate escrow closing, construction loan closing, and other relative procedures, by working with attorneys, lenders, investors, escrow, and title companies to complete all due diligence, legal and financial documents in a thorough and timely manner.== Entrepreneurship and Leadership ==Hire, train, motivate and coach other analysts in the team; assign projects and tasks, monitor the progress, evaluate the result, and provide timely feedback to junior analysts on daily or weekly basis. Provide analytical training across the teams and attend day to day corporation management meetings.

==Business Data Analysis==--Tools: Excel; Tableau; Power BI; other BI tools like Zoho.--Detail:Designed and continually improved daily BI reports and dashboards for management’s review, developed VBA functions and recorded Macros to automate reduplicative tasks.==Machine Learning Pricing Model==--Tools: SQL; Python; Pandas; NumPy; Matplotlib; Sklearn; Seaborn; Random Forest Regressor; Gradient Boosting Regressor; Linear Regressor; Isolation Forest; Label Encoder; Flask; Joblib; Postman. --Summary:Built Machine Learning pricing models (GBR) from scratch, which enhanced monthly active users by 30%.--ETL:Extracted shipment and customer data from internal database using SQL, manipulated over 100,000 data records in Python with Pandas and NumPy, conducted exploratory analysis and removed outliers with Isolation Forest.--Data Mining & Feature EngineeringGenerated correlation matrix to inspect key variables and visualized result utilizing Seaborn and Matplotlib.Integrated field knowledge to construct new features and categorical columns for modeling.--Model TuningImplemented Gradient Boosting Regressor algorithm to learn from thousands of real shipment data to predict fair prices for future shipments with given features.Tuned the parameters in Grid Search, which greatly improved the generalization performance and boosted the prediction score (R2) from 0.92 to 0.98.--ApplicationEmbedded model on website with Flask and assisted engineers for online testing before launching, in postman. ==Ad-hoc Analysis & Strategic Developments==Conducted end-to-end analyses in support of marketing campaigns and sales biddings.Delivered strategic planning reports for Data Warehouse and Recommendation System.

==Product Design==--APP DesignDefined the logic, framework, and functions of the APP, where entrepreneurs and the teams could share their culture and vision with angel investors to enhance transparency and attract investment. Researched the user behavior, conducted statistical analyses to reveal user patterns, and extract user need and pain points to guide product iteration.--PrototypingVisualized product ideas using Axure and collaborated across product and engineering teams to generate prototypes.