Beichen Xie

Identified and screened potential M&A targets for Asian expansion by assessing strategic fit, revenue drivers, cost structure, and competitive positioning to shortlist high-fit candidates. Conducted an in-depth review of the target's profile—including business model, financial trajectory, and sector landscape, and synthesised key insights from a simulated auction process using IB methodologies. Built a multi-scenario DCF model using forecasted financials, incorporating WACC estimation, sensitivity testing, and risk adjustments tied to supply-chain exposure and competitive pressures. Delivered a structured, data-driven investment recommendation supported by valuation outputs, strategic rationale, and risk considerations, completing the J.P. Morgan IB simulation.

Completed a virtual Operations internship focused on end-to-end wealth-management transaction workflows, gaining practical exposure to trade execution, confirmation, settlement, and exception handling processes. Analysed and resolved simulated high-net-worth client trade discrepancies by liaising with trading, settlement, and compliance teams, ensuring trade accuracy, timely resolution, and adherence to internal control standards. Applied operational risk frameworks and regulatory guidelines to validate transaction data, identify process breaks, and mitigate potential downstream risks across the trade lifecycle. Strengthened cross-functional collaboration and communication skills while developing deeper insight into financial operations, risk-managed processing, and the infrastructure supporting front-office activities.

Assisted customers in selecting eyewear products by assessing visual needs, style preferences, and prescription requirements. Maintained detailed knowledge of lens types, frame materials, and optical trends to provide accurate and consultative advice. Managed frame fittings, adjustments, and order processing, ensuring a smooth end-to-end customer journey. Organized in-store displays and supported stock management to maintain visual merchandising standards and product availability.

I have been working long-term as a part-time staff member at CHAYAN Tea Café. Through this role, I have gained hands-on experience in both milk tea and bubble tea shop operations, developed strong customer service skills, and learned how to efficiently prepare and serve a variety of beverages. This position has provided me with valuable insight into the food and beverage industry and enhanced my ability to work in a fast-paced, customer-oriented environment.

Analysed TikTok's recommendation algorithm to evaluate how its content-ranking strategy drives user traffic allocation and underpins the platform's rapid user-engagement growth. Assessed key engagement and monetisation levers—including personalised content funnels and retention-focused feedback loops—that strengthen TikTok's competitive positioning within the short-video market. Evaluated the platform's distribution model and its impact on creator economics, user acquisition efficiency, and market share dynamics relative to competing platforms. Concluded that TikTok's data-driven optimisation architecture serves as a core strategic asset, enabling scalable monetisation, defensible network effects, and sustained leadership in the global short-form media ecosystem.

Joined a boutique operated through a peer referral, driven by strong personal interest in the luxury watch sector and horological mechanics. Engaged directly with clients to identify preferences, provide tailored product recommendations, and deliver a high-end customer experience. Mastered the full Longines collection, including movement types, technical features, and complications, leveraging a self-driven passion for watch mechanisms to accelerate product expertise. Supported sales operations and inventory presentations, contributing to daily store performance and customer satisfaction.

I have completed my own personal collection of photographic works “From Bloom to ruin ", The theme of this photography collection is about the concept of time, and it expresses the idea that time is irreversible through the use of flowers.

Conducted a critical assessment of Meituan's delivery algorithm and analysed its broader impact on rider working conditions, highlighting how optimisation logic can prioritise efficiency over human considerations. Investigated algorithmic management mechanisms, including automated task allocation, real-time monitoring, and performance scoring, and demonstrated how these systems heighten work pressure and restrict rider autonomy. Evaluated the operational and ethical implications of treating riders as algorithm-governed inputs, linking labour outcomes to underlying platform-infrastructure design choices. Proposed a human-centred redesign of the evaluation framework, recommending multi-dimensional performance metrics that incorporate qualitative factors to support fairer and more sustainable labour practices.