Ryan Tang
Verified Expert in Engineering
Statistics Developer
Durham, NC, United States
Toptal member since January 21, 2022
Ryan is an applied scientist empowering businesses to unlock the full potential of data in solving intricate, complex business problems. For the past nine years, he's been dedicated to building pragmatic, data-driven solutions that blend scientific rigor with practical business insight. With experience spanning technology, real estate, and insurance industries, he's played a pivotal role in driving significant revenue growth, developing cutting-edge products, and optimizing business functions.
Portfolio
Experience
Availability
Preferred Environment
Visual Studio Code (VS Code), Jupyter Notebook, Python, Git, Bayesian Statistics
The most amazing...
...project I've developed was a unified auto-bidding algorithm and the underlying framework that impacts over 75% Reddit's advertising revenue.
Work Experience
ML/Data Science Consultant
Tadpull
- Developed the client's marketing mix model (MMM) that makes statistical inferences about advertising budget efficiencies on various channels.
- Provided forecasting and forward Monte Carlo simulation expertise for time-series applications in revenue and inventory predictions and controls.
- Developed model and methodology for budget optimization using the MMM inferences.
Data Science and Engineering Consultant
IMPAKT IQ
- Developed the company's client-facing, automated dashboard for reporting ESG matters and its proprietary scoring with professional, stunning visualizations.
- Automated the company's project workflow by reducing manual work time by over 80%.
- Provided architecture and engineering expertise in launching the company's website.
Quantitative Research Consultant
Various Hedge Funds
- Researched, designed, and implemented medium-frequency statistical arbitrage quantitative strategies for various small hedge funds and ensured strategy performance through rigorous scientific-backed methods.
- Provided and promoted best practices on infrastructure, technology stacks, automated CI/CD, MLOps, and data literacy for maintaining fully automated systems.
- Contributed to strategy development traded on equities, options, futures, and forex, which have been consistently delivering a Sharpe ratio of 2+ since then.
Senior Machine Learning Engineer
Reddit, Inc.
- Led and contributed to Reddit's auto-bidding strategies. Worked on designing and implementing the core algorithm in a distributed, real-time environment.
- Contributed to the incremental improvements in revenue of 2.5%, budget utilization of 12%, and 30% clicks.
- Provided technical leadership in algorithms and infrastructure behind the entire auto-bidding strategies.
- Took ownership of Maximize Clicks v2, Maximize Clicks v2.5, and Max Clicks Lagrangian.
- Performed rigorous experiment design and statistical validation throughout.
- Spearheaded distributed processing of over terabytes each day.
Research Scientist
Duke University | Department of Statistics
- Utilized statistical and machine learning knowledge to develop new methodologies while improving the existing state-of-art ones.
- Conducted research aligned with recent field developments and literature. Implemented qualitative and quantitative analysis and data collection tools to achieve the assigned tasks within specified periods.
- Assisted the team in conducting intensive data analysis at MovieLens 25M datasets that explore people's movie rating behaviors from multiple lenses.
- Finalized and submitted research results to the group with recommendations on specific topics. Accomplished a seven-page write-up, supporting the team a step closer to the goal of publishing a paper.
Principal
Ridge Equities
- Spearheaded private equity fund operations, optimizing operational efficiency through systematized market operations and strategy development for a single-family value-add rental investment.
- Standardized business operations, value-add capital improvement projects, budget and timeline controls, trade coordination, and quality control assurance compliance with policies or regulations.
- Expanded business opportunities by directing a total asset of over $5 million, capitalizing on management and excellent communication skills to convey a consistent annual equity return of more than 15%.
- Bolstered operations, revenue generation, and client base expansion by instituting innovative portfolio management strategies for over 33 units across Philadelphia Metro.
- Executed comprehensive property management, incorporating best practices in tenant screening, repair and maintenance, cost control, rent collection, dispute handling, and capital improvement to meet optimal equity and internal rate returns.
- Boosted strategic leadership and communication among stakeholders and cross-functional teams, instilling the company vision to influence business transformation and meet objectives.
Senior Data Scientist
Guardian Insurance
- Developed the company's 1st customer segmentation model about life insurance purchasers' key life events and behavior drivers, utilizing extensive statistics modeling and pulling data from a large volume of datasets from various sources.
- Achieved an average of 1.6 times target segment lifts, reducing the client acquisition cost and improving conversation rate to optimize the overall marketing profit and loss (P&L).
- Amplified the AUC metric by over 8% by introducing nonlinearity with additional critical behavior features into the prospect-predicting model.
Business Analyst
Guardian Insurance
- Established rich interactive visualizations through data interpretation and analysis to integrate multiple data sources to support performance analysis, agency and producer ranking and awards, and internal marketing strategy.
- Evaluated data collection processes for various business reports, utilizing multiple datasets to develop visual displays of solutions. Communicated data analysis results in written and verbal form for a more effective presentation.
- Strategized business intelligence solutions by updating the latest information technology applications. Automated over 80% of department internal ad-hoc reports using Python, Tableau, Excel, and VBA.
Operation Research Consultant
Gemological Institute of America
- Supervised more than three professionals in a supply chain optimization project to streamline the internal quality control logistic system.
- Theorized the logistics system using linear programming and proposed a route for production implementation. Provided a full-size demo on Python and Django frameworks focused on online learning.
- Formulated an operational strategy, mapped a value chain, and conducted quantitative research for prospective institute models.
Experience
Equity Investment Web App
Distributed Event-driven Backtesting System
Manhattan College Business Analytics Competition | First Place
https://manhattan.edu/news/archive/2015/05/first-annual-business-analytics-conference-and-competition-explores-art-and-science-decisionEducation
Master's Degree in Statistical Science
Duke University - Durham, NC, United States
Bachelor's Degree in Business Analytics
Pace University - New York, NY, United States
Certifications
Reinforcement Learning Specialization
Coursera
Fundamentals of Computing Specialization
Coursera
Mathematics for Machine Learning Specialization
Coursera
Skills
Libraries/APIs
Pandas, NumPy, Scikit-learn, PyMC, TWS API, Interactive Brokers API, PySpark
Tools
Git, Tableau Development, BigQuery, GitHub, Excel Development, Business Intelligence Development, Looker
Languages
Python, SQL, Scala, Excel VBA, Go, Java
Paradigms
Object-oriented Programming (OOP), Unit Testing, Business Intelligence Development, Distributed Computing, Linear Programming, ETL, Event-driven Programming, Real-time Systems, Dynamic Programming, MapReduce
Platforms
Jupyter Notebook, Oracle Development, Docker, Visual Studio Development, QuantConnect, AWS
Storage
PostgreSQL, Database, MySQL, MongoDB
Frameworks
Hadoop, Spark, Django, Streamlit Development, Web Development, Flask
Other
Operations Research, Mathematics, Statistics, Big Data Architecture, Analytics Development, Algorithms, Linear Algebra, Partial Differential Equations, Principal Component Analysis (PCA), Optimization, Stochastic Gradient Descent (SGD), Machine Learning, Bayesian Statistics, Recommendation Systems, Computational Advertising, Research, Dashboard, Asset Management, Equity Investment, Asset Valuation, Private Equity, Wealth Management, Customer Segmentation, Excel 365, Data Visualization, Data Cleaning, Machine Learning, Data Science, Data Engineering, Data Science, Financial Engineering, Competitor Analysis & Profiling, Time Series Analysis, Distributed Systems, Software Engineering, Quantitative Analysis, Numerical Analysis, Algorithms, Statistical Modeling, Reinforcement Learning, Artificial Intelligence, Bayesian Inference & Modeling, Experimental Design, Real-time Streaming, Real-time Bidding (RTB), Data Modeling, Machine Learning Operations (MLOps), Backtesting Trading Strategies, Financial Modeling, Data Science, Trading, Data Science, Google BigQuery, Google Data Studio, Data Analysis, Digital Marketing Product Management, Classifier Development, Supervised Learning, Teamwork, Regression, Reporting, Data Collection, Modeling, Vectorization, E-commerce marketing, Financial Modeling, Quantitative Analysis, Data Science, Quantitative Development, Graph Theory, Leadership, Property Management, Cross-selling, Upselling, Dash, Data Scraping, APIs, Ads, Advertising Management, Back-end Developers, Causal Inference, Energy, Environmental, Social, and Governance (ESG), Energy, NLP, Signal Processing, Back-end Developers, Game Development, Generative Pre-trained Transformers (GPT), Quantitative Development
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