Public Equities/TMT/Industrials
Business Administration & Data Science major at UC Berkeley, focused on public equities with a concentration in TMT & Industrials. I write full-length memos and create the models behind them. Hopefully there's some interesting ideas behind these posts and you enjoy reading them!
3 open · 3 closed
Cumulative
+71.7%
2025-10-27 → 2026-10-05 · 52 wk
Cumulative is an equal-weighted book rebalanced weekly across whatever was open in each week, so it stays fully invested and spans a longer window than any single position, so it will not equal the average of the rows below. Sharpe is annualised net of a 4.3% risk-free rate from weekly split- and dividend-adjusted closes. Short returns are the negation of the underlying's; position sizing, cash drag and borrow costs are not modelled.
Selected Work
Each idea links to the full memo or deck and the model behind it. Views are my own, were accurate as of the date each was written, and are not investment advice.
Not Published
Coverage initiated between June and August 2026. Work done for an employer or under confidentiality, so there is no memo or model to link here. Direction is the stance taken at the time. Happy to talk through any of it.
Professional Work
Private Wealth Management Fall Analyst
Tracking late-stage AI M&A targets and screening IPO candidates for a $1B+ HNWI portfolio, contributing sector research and financing work to shape capital allocation across software verticals.
Investment Summer Analyst
Second analyst on the AI infrastructure coverage team at a $1.5B single-manager fund of eight, a spin-off of 3G Capital's public arm led by Daniel Dreyfus. Primary contributor to the SPCX initiation report, modelling sector-wide energy projections and future grid capex.
Spring Equity Analyst
Built investment theses and screened acquisition targets in AML, KYC and legal compliance software for a technology fund with $5B in transaction volume focused on capital-light acquisitions.
L/S Investment Analyst, TMT & Consumer Pod
Fundamental work on mid-cap names including Chewy, Dollar General and DoorDash, pitching and defending ideas in front of industry analysts. The Willis Lease and Cal-Maine theses above came out of this seat.
Financial Analyst
Supported upper management through the $4B divestiture of BD Biosciences, built guidance models on automated data infrastructure, and created multi-agent AI environments that processed over 500GB of data to assess the restructuring.
B.S. Business Administration, intended B.A. Data Science
GPA 3.93. Second place at the Premier Global Invitational hosted by the Warwick Hedge Fund Society and a finalist at the Texas Stock Competition hosted by UT Austin. Invited to the Goldman Sachs Possibilities Series, the EY Shaping Possibilities Summit and P72 Spring Sessions. Senior Consultant on ABA's finance team alongside.
Profile
Hi! I'm Zhian and thanks for visiting my website. Right now it only has some of my prior pitches & investing ideas, but hopefully in time I'll also put some other stuff on here like my life thoughts & recent books I've read like some of the others who've made their own website. Thanks to Kevin Zeng & Nelson Law for inspiring me to make a website! As you can probably tell, I love spending time looking at companies and coming up with a view that's more well-informed than the rest, and investing off that disparity. Sometimes I'm wrong, but I try to be right more than I'm wrong! Anyways, hope some of this is of-value to those of you reading, and have a great day.