eliasaresio12

• Conducted comprehensive regional market analyses, authored data-driven reports, and provided tailored residential recommendations to clients, improving their decision efficiency. • Led end-to-end product architecture and core module design, delivered a functional MVP within two months, and integrated it into pilot services for early user validation. • Developed the overall business model framework, orchestrated business development initiatives, secured partnerships with two strategic enterprises, and initiated seed-round investor discussions.

• Developed client pipelines through strategic networking and market research, contributing to consistent lead generation and conversion. • Managed end-to-end transaction processes including property viewings, due diligence and inspection, client engagement, and documentation. Maintained long-term relationships by providing post-sale support on ownership, tax, and mortgage issues (achieving 100% satisfaction). Delivered executive summaries and verbal briefings to the director, translating technical data into actionable insights and visual dashboards using Word, Excel, and PowerPoint. • Conducted regional property market analyses by collecting and extrapolating key indicators to evaluate local planning, pricing trends, and demographic patterns. Provided data-driven recommendations to support sales and investment strategies (Over 100 houses/ flats investment analyses in over 30 properties in 1 month). I also monitored macroeconomic indicators and regulatory updates to support monthly market outlooks and provide adaptive sales recommendations, enhancing operational agility. • Built property valuation models and conducted investment feasibility studies (PB, PE, DCF, NAV), delivering decision-support reports aligned with market benchmarks and industry standards. • Conducted in the Anti-Money Laundering review, including Know Your Customer and Customer Due Diligence reviews. • Assessed buyer affordability by analysing mortgage options, loan-to-value ratios, and interest rate impacts in collaboration with banks and legal advisors. • Participated in property documents verification, coordinating with solicitors and immigration advisors to review legal contracts, sponsor-licence applications and visa paperwork. • Provided end-to-end client support on UK property purchases (Started client matching within 1 week of joining the company, with a 100% turnover rate for complete matching of clients).

• Financial Data and Business Analysis * Assembled and maintained monthly financial statements and detailed transaction logs, adhering to local laws, regulations and accounting standards. Enabled accurate and audit-ready records that supported financial reporting, reducing processing time by 15%. * Updated and consolidated logistics data via Excel, 0% error rate. Ensured real-time data accuracy for key stakeholders, which optimised supply chain decisions and minimised inventory discrepancies. * Produced performance reports for business operations, social media influence and variances analysis. Offered leadership valuable insights into revenue streams and marketing ROI, reducing the marketing cost. * Created annual budgets and rolling forecasts for revenue and expenditures, developed and monitored KPIs to align with company goals. Initiated regular inter-departmental meetings to align logistics arrangements, sales forecasting, and budget planning. Aligned targets with goals and increased revenue (highest in the last 5 years). * Coordinated cross-functional teams (operations, logistics, marketing and warehouses in China and the USA), working across time zones and investigating opportunities for growth in the UK market. Maintained delivery efficiency and improved customer satisfaction while increasing warehouse storage. • Sports Performance Data Analysis * Analysed sponsored teams’ games and training video, provided performance analysis reports for each player. Established analysis and training system. Pinpointed individual strengths and weaknesses. * Combined the matches and practice videos with the analysis reports to arrange practice for the team and players. Helped coaching staff implement targeted skill drills, increasing winning rate by 50%.

• Quantitative Analysis and Machine Learning Integration * Conducted empirical research to analyse the impact and risk factors of credit default swaps (CDS) returns, employing advanced empirical and machine learning (mainly NLP) techniques. * Combined econometric methods with innovative machine learning tools to quantify the strength and direction of CDS risk impacts (paper currently under journal review, tentative title: The Exploration of the Impact and Risk Factors of CDS Return, with Prof. Giovanni Calice). • Data Processing and Risk Factors Detection and Quantification Modeling * Snooped and tidied data via Python, SAS, and SQL, ensuring data integrity and accuracy for high-stakes financial modelling. * Built predictive models to evaluate CDS return behaviours, enlarging the forecast range compared to previous approaches.

Validated contracts, analysed market, compiled and presented performance reports via Excel, PowerPoint and Word. Practical work in fund management data analysis via Excel and Stata.