Experience
Distyl AI
Product | Austin, TX and San Francisco, CA | 2024 - Present
- Operating at the intersection of frontier research, engineering, and product to deliver AI into production at the Fortune 500 and beyond
- Early employee ~#10
- Product engineer + solo PM hybrid building Distyl's platform Distillery 0 -> 1. Select platform case studies:
- powering XXXk AI interactions daily at Top Telecom Fortune 500 across text and voice, resulting in double-digit lifts to key metrics such as containment and NPS
- generating XX% of US preauthorization decisions, resulting in 99+% faster decisions along with $XXmm in annual savings and higher accuracy
- [ArXiv] GenEdit: Compounding Operators and Continuous Improvement to Tackle Text-to-SQL in the Enterprise
Airtable
Senior Data Scientist | Austin, TX and San Francisco, CA | 2021 – 2023
- Lead as 1st enterprise product data scientist via experiments, strategy/analyses, machine learning, data engineering, KPIs, and causal inference
- Launch and iterate foundational features across diverse pods that often impacted majority of multi-million user population and unlocked ARR expansion and retention: base management (view organization, field manager, base insights), infrastructure (50k→250k table record limits, view projection), enterprise organization (license overhaul, account structure overhaul), developer ecosystem (OAuth, PATs), and IT (admin panel)
Palantir Technologies
Data Scientist, Commercial Lead | Palo Alto, CA | 2017 – 2020
- Collaborate with global commercial, public, and non-profit institutions to return sustainable and outsized value via the intersection of big data, analytics, A/B testing, machine learning, product development, and strategic partnership
- Implement and lead remarkable teams of data analysts, scientists, and engineers on multiple $10+mm annualized enterprise initiatives
- Enable enterprise-wide digital transformations including retirement of central 30+ year-old Teradata warehouse that persisted through multiple failed migration attempts, 90% reduction of E2E production time for ML models, and development of data ontologies driving C-Suite decisions
- Develop partner relationships and align political momentum culminating in establishment of Palantir's #1 North American commercial client
Key Projects:
- Uncovered $40mm fuel savings opportunity and developed algorithm along with recommendation engine that automates fleet dispatching based on environmental variables (e.g., turbulence), route geocoordinates, demand vs arrival rates, and historical fleet performance
- Production deployment of numerous models including optimization model allocating $100mm heavy industrial equipment budget, NLP topic model identifying themes across 30 centers based on customer feedback, regression models that enable senior leadership to identify alpha amongst daily performance metrics, and LinearSVC models that automate the classification of over 16 million maintenance issues
- Developed core marketing product at global bank to segment customers, target channels, and monitor campaign performance that led to ~60x increase in campaign cadence, netted 2% response rate lift, and unlocked collaboration across previously disjoint teams
- Real-time decision application optimizing the allocation of aircraft that broke ground in balancing passenger itineraries, maintenance needs, crew constraints, and other factors. The application has transformed the meaning of "data-driven" for one of North America's largest airlines and impacted operations significantly through a reduction in missed connections, out-of-service aircraft, and crew timeouts
- Pioneered integration, analysis, and application of complex FAA SWIM (100mm messages per day) yielding $30+mm in annualized value
Evercore Partners
Tech Investment Banking Analyst | Menlo Park, CA | 2014 – 2016
- Advise tech companies on M&A, IPOs, and restructurings while cultivating expertise on software, internet, data, clean energy, and VC trends
$6.3bn Acquisition of SolarCity by Tesla:
- Collaborated closely with management to build a bottoms-up multi-case operating model based on KPIs and detailed cash flow, evaluate synergies (e.g., headcount reduction and inverter integration) and determine pro forma financing constraints (e.g., CoC covenants)
- Conducted due diligence on the solar industry with respect to competitive dynamics, market viability, government policy (e.g., ITC credit extension and local net metering), product strategy such as inverter deduplication and capital structure sensitivity to the credit markets
Other Select Experience: Aon's Acquisition of Stroz Friedberg, Line Corporation IPO, Merger of Virtual Instruments with Load DynamiX
Microsoft
Program Manager | Redmond, WA | Summer 2012, 2013
- Developed specs and iterated on Hero features for SmartSearch in Windows Blue by working closely with teams across multiple business units
- Owned E2E design, database management, programming, integration, and testing of V1 feature targeted at online retail search
- Facilitated frequent communication with outside corporation resulting in partnership aimed at multi-million dollar vertical
FaceCake Marketing Technologies
Developer Intern | Calabasas, CA | December 2012 – May 2013
- Coded Swivel, an augmented reality shopping experience, leveraging real-time image processing (OpenCV) overlaid with shopping assets
Prior Experiences
- Goldman Sachs – Real Estate Asset Management Intern
- Deutsche Bank – Sales and Trading Summer Analyst
Education
The University of Texas at Austin
Bachelor of Science, Electrical and Computer Engineering Honors | December 2013 Bachelor of Business Administration, Business Honors and Finance
National Taiwan University
The International Chinese Language Program | Taipei, Taiwan | Spring 2014
Additional Information
Technical Skills: Python, Typescript, React, PySpark, Pandas, SQL, Java, C, Assembly Languages: Conversational in Mandarin, intermediate in Spanish Interests: Learning Mandarin, basketball, AI, skiing, acoustic guitar, early stage investing, scuba diving (100+ dives), traveling (45+ countries, 6 continents) Work Status: U.S. Citizen; eligible to work in the U.S. with no restrictions
Personal
Mission
Be the best that I can be while bringing out the best in those around me, make the most of our short time on this planet, and aspirationally improve over a billion lives.
Background
I'm a builder fascinated and focused on the next Industrial Revolution currently underway.
I've been schooled in traditional computer theory, AI, product, engineering, and finance as well as practiced and led teams in these fields professionally.
Some of Connor's favorites:
- Inspiration: Family
- Food: Beef noodles made by grandma (婆婆做的牛肉麵)
- Movie: Good Will Hunting
- Show: Whose Line Is It Anyway?
- Sports Team: Houston Rockets
- Fruit: Custard apple (鳳梨釋迦)
- Artist: Ed Sheeran
- Tree: Banyan Tree
- Book: Catch-22
- Musical: Hamilton
- President: Abraham Lincoln
Contact
- Email: connor.landy@gmail.com
- LinkedIn: linkedin.com/in/connorlandy
- GitHub: github.com/tentatshu
He is based in Austin, TX and can also often be found in San Francisco, CA as well as New York City, NY.