Ruben Nakano Email & Phone Number

Chicago, Illinois, United States

San Francisco, California, United States

• Analyzed product cannibalization between restaurant and groceries; worked on targeting analysis to determine which users should be sent promotions to optimize revenue
• Partnered with marketing team throughout CRM campaigns: identifying experimentation opportunities, determining sample size for A/B testing, presenting results to stakeholders, and recommending actions based on findings.

Evanston, Illinois, United States

• Implemented three end-to-end predictive models for real-time streaming data (IoT) on AWS

São Paulo, Brazil

• Managed a team responsible for carrying out short-term projects from end-to-end: defining clear objectives, establishing success and guardrail metrics, conducting experiments to identify impactful levers, presenting.
• Example: reduce courier wait time in restaurants by ~14% by enhancing machine learning model that estimates food readiness and launching a feature for restaurants to indicate order completion. This optimization boosted.

São Paulo, Brazil

• Helped develop critical protocols used by Live Operations team to reduce risk of logistic collapse caused by the increase in orders due to COVID. Protocols helped increase order batching by adjusting optimization.
• Nationwide implementation of new Estimated Time of Arrival machine learning models for fast food restaurants with Data Science, Business and Operations teams. New model resulted in an increase of deliveries made under.

São Paulo, Brazil

• Demand forecasting studies during the 5th and 6th rounds of nationwide Brazilian airport concession program, consisting of over 30 airports with estimated traffic of 45 MM passengers per year - Yearly and peak-hour.

São Paulo, Brazil

• Specified a discrete choice model used to determine what share of daily traffic (25,000 vehicles) would opt to pay toll rates for the concession of the main interstate that connects Brazil’s South and Southeast regions
• Designed logistic model used to forecast Brazilian soybean and corn exports (120 MM tons yearly) through the country’s Northern Arc ports. The forecast served as the main input for the financial modelling of a 600-mile.
• Estimated the revenue forecast used to determine the financial feasibility of building a new shopping mall and parking lot complex in the 3rd largest airport in Brazil. The forecast was based on stated preference.
• Optimized employee transportation for 10 sugarcane mills by clustering employees by shift, restructuring routes and negotiating new contracts with external service providers. The proposed changes resulted in 15% cost.

São Paulo, Brazil

Public transportation planning, georeferencing survey data, map design and analysis. Use of TransCAD and other GIS software.

São Paulo Area, Brazil

Transportation infrastructure design projects (subway, trams, BRT). Assisted in writing reports and developing drawings and schemes.

Bristol, United Kingdom

Research on mechanical properties of rammed earth walls (shear capacity and coefficient of friction between wall and concrete capping beam). Test design and analysis on Excel and MatLAB.

São Paulo Area, Brazil

Data collection and analysis for a tool that assesses and analyzes a country's competitiveness through static and dynamic indicators.

Master Of Science - Ms, Machine Learning And Data Science (Previously Msia), 4.0/4.0

Bachelor Of Engineering - Be, Civil Engineering (Transportation)

Bachelor Of Engineering - Be, Civil Engineering

One year non-degree program - Fully sponsored by Brazil's Federal Government ("Science Without Borders")