Robert Tan, Developer in Toronto, ON, Canada
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Robert Tan

Verified Expert  in Engineering

Product Management Developer

Location
Toronto, ON, Canada
Toptal Member Since
October 3, 2018

Robert has extensive data science and AI experience in the technology sector. He's worked with clients in the United States, Canada, Qatar, Jamaica, UAE, and the UK. He excels at distilling complex problem spaces into clarity in data. Robert is skilled in algorithmic analysis, BI, data analysis, synthesis, data/AI products, data harvesting, cleaning, and visualization. His past clients include an international airport and two property management firms with a combined AUM of $54 billion.

Portfolio

Wave Apps
Amazon Web Services (AWS), Google Cloud Platform (GCP), Vertex AI, Acquisitions...
Wave Apps
Jira, R, Data Analytics, Analytics, Data Manipulation, Predictive Modeling...
Wave Apps
Redshift, SQL, R, Data Scraping, Python, NumPy, Data Analytics, Analytics...

Experience

Availability

Part-time

Preferred Environment

Git, Linux, MacOS, Windows, RStudio, Artificial Intelligence (AI)

The most amazing...

...thing I've done is securing seed financing from Elon Musk!

Work Experience

Data/AI Product Manager

2023 - PRESENT
Wave Apps
  • Led the 0-1 product vision, strategy, and roadmap of data/AI products. Identified and prioritized 18 AI product use cases across eight functions (e.g., bookkeeping and knowledge copilots).
  • Won the executives' buy-in and collaborated with 11+ cross-functional stakeholders across marketing, sales, engineering, and design and got the buy-in from C-suite, directors, and VPs across core business lines and functions such as P&C and engineering.
  • Identified and prioritized four highest-value use cases through analyzing JTBD, launching surveys, interviewing executives and vendors, analyzing industry players, and leveraging 14 years of financial and firmographic data.
  • Partnered with machine learning engineers to drive strategic build/buy decisions with vendors like Google Vertex and AWS, focusing on viability and feasibility.
Technologies: Amazon Web Services (AWS), Google Cloud Platform (GCP), Vertex AI, Acquisitions, Product Management, Large Language Models (LLMs), OpenAI GPT-4 API, OpenAI GPT-3 API, Natural Language Processing (NLP), SaaS Product Management, Pricing Strategy, Product Launch, SaaS

Product Manager

2021 - 2023
Wave Apps
  • Led a team of 15 engineers, designers, and operations to grow a SaaS business by $2 million in annual recurring revenue.
  • Spearheaded the discovery and delivery of an independently identified new product opportunity that amplifies user growth by 20% annually.
  • Directed key recommendations and negotiations for directors and VPs over a $15 million deal.
Technologies: Jira, R, Data Analytics, Analytics, Data Manipulation, Predictive Modeling, Data Science, Data Analysis, Artificial Intelligence (AI), Product Management, Acquisitions, Large Language Models (LLMs), SaaS Product Management, Go-to-market Strategy, Pricing Strategy, Product Launch, SaaS

Senior Data Insights Analyst

2018 - 2021
Wave Apps
  • Proactively identified growth opportunities and persuaded the CEO to change the definition of the business's target customer (R, SQL). Guided product to improve product engagement and increased retention from low to mid 90%.
  • Recognized as the subject matter expert and tapped by the VP of product to consult product and marketing teams over strategic efforts to identify leading indicators of user success and failure.
  • Drove recommendations over amplifying revenue growth by 20% annually through business modeling of proactively identified opportunities.
Technologies: Redshift, SQL, R, Data Scraping, Python, NumPy, Data Analytics, Analytics, Data Manipulation, Machine Learning, Predictive Modeling, Data Science, Data Analysis, Reporting, Algorithms, Natural Language Processing (NLP), Pricing Strategy, SaaS

Senior Data Analyst

2017 - 2018
Aislelabs Inc.
  • Identified the opportunity to raise net profits by 1.54% ($17 million NPV) for Pearson Airport by mathematically optimizing flight-gate assignment to place affluent passengers closer to luxury retail.
  • Pioneered microtargeting marketing for 31 malls (on average, $764 million sales and 14 million visitors) by developing customer-level data dashboards and presented this capability to marketing executives.
  • Served as the sole analyst using the R statistical language to mine insights for Oxford Properties ($45 billion), Cadillac Fairview ($29 billion), and Pearson Airport (top 0.1% busiest airport).
  • Supported the account management team with ad-hoc data manipulation to increase team efficiency.
  • Developed data dashboards for large property management firms.
Technologies: Git, SQL, Bash, CSS, JavaScript, R, Data Scraping, Python, NumPy, Data Analytics, Analytics, Data Manipulation, Machine Learning, Predictive Modeling, Data Science, Data Analysis, Reporting, Algorithms, Google Maps API, Recommendation Systems, SaaS

Consultant | Analytics

2014 - 2017
Various
  • Led recommendation and advisory for Queen's University (Top 1 University in Canada). Guided the dean of medical school and department heads over a go/no-go decision for an eight-figure deal.
  • Spearheaded the creation of an exit strategy directly with the CEO of a city's top 10 largest property management firm.
  • Backtested financial trading algorithms on 4700 equities in collaboration with back-end Java developers and improved trading effectiveness by 17%.
Technologies: JavaScript, R, Data Scraping, Data Analytics, Analytics, Data Manipulation, Data Science, Data Analysis, Reporting, Healthcare

Fake Person Generator

The project I developed generates n quasi-realistic individuals with various attributes, including first and last names, emails, name-based ethnicities, latitudes, and longitudes. The generation process incorporates Bayesian prediction packages and makes asynchronous curl calls to utilize the Google Maps API.

The generated dataset is then used as input for an R Shiny code. This code creates an interactive application that enables users to browse individual-level data on a Google Map dynamically and interactively.

The code is written in R and can be executed in either base R GUI or, preferably, RStudio.
2011 - 2015

Bachelor's Degree in Commerce - Marketing

Queen's University - Canada

JUNE 2017 - PRESENT

Data Science Specialization

Datacamp Inc.

Libraries/APIs

Ggplot2, Tidyverse, Google Maps API, NumPy

Tools

Adobe Creative Suite, InVision, Adobe Photoshop, Plotly, GIS, Tableau, Git, Jira

Frameworks

RStudio Shiny

Languages

CSS, R, Python, JavaScript, SQL, Bash, Visual Basic for Applications (VBA)

Paradigms

Functional Programming, Data Science, Business Intelligence (BI)

Platforms

RStudio, Windows, MacOS, Amazon Web Services (AWS), Gephi, Linux, Google Cloud Platform (GCP), Vertex AI

Storage

MySQL, PostgreSQL, Redshift

Industry Expertise

Healthcare

Other

Data Analysis, Marketing Analytics, Data Mining, Data Processing, Machine Learning, Business Strategy, Software Development, Product Management, Data Scraping, Data Analytics, Analytics, Data Manipulation, Reporting, Algorithms, Artificial Intelligence (AI), Acquisitions, SaaS Product Management, Go-to-market Strategy, Pricing Strategy, Product Launch, SaaS, Financial Modeling, Forecasting, Predictive Analytics, Network Visualization, Neural Networks, Predictive Modeling, Large Language Models (LLMs), Natural Language Processing (NLP), Data Engineering, Bayesian Inference & Modeling, OpenAI GPT-4 API, OpenAI GPT-3 API, Recommendation Systems

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