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Rodrigo Nava Arellano

Rodrigo Nava Arellano

Certified

Data Scientist

Wakala S.r.l. | Rome, Italy

Technologies

My Portfolio Highlights

My New Track

Quantitative Analyst

My New Course

Introduction to Python

My New Track

Quantitative Analyst

Insights evangelist, spreading the gospel of data-driven decision-making.

My Work

Take a look at my latest work.

course

Data Manipulation with pandas

course

Introduction to Python

course

Intermediate Python

course

Data Manipulation with pandas

My Certifications

These are the industry credentials that I’ve earned.

Data Scientist Associate

Data Scientist Associate

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Introduction to SQL
Intermediate SQL
Intermediate Python

My Work Experience

Where I've interned and worked during my career.

Wakala S.R.L. | Mar 2025 - Present

Data Scientist

Development of end-to-end Data Science & Analytics projects for the firm's clients. Speaker in data-driven culture events.
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CHEP LATAM | Oct 2021 - Jan 2025

Senior Data Scientist LATAM

Responsibilities: Development and implementation of data science solutions for CHEP LATAM. Creation of machine learning models for each type of movement (e.g. issues, transfers, collections) of a handling equipment pool (pallets) at several aggregation levels such as key account and country (LATAM). The goal is to predict asset loss for the next fiscal year and its impact on the firm’s profitability. Development of an alert system that uses machine learning to forecast changes in channel fees for the region's main retailers. Collaboration with data science teams of other CHEP' geographies in order to coordinate, integrate and adapt machine learning projects already operating in those regions. Co-creation of "S+ Extrapolation Profiles", a project that profiles and delivers high-value insights about several manufacturers and retailers from data collected using IoT devices installed in the company´s issued assets. Active participation both as content creator and speaker in Data-Driven-Culture events that were held both in spanish and english and broadcasted globally to Brambles’ and CHEP’s employees around the world: DigiWeek 2023: Speaker at DigiWeek’s "Ask The Experts Digital Webinar", proudly demonstrating our team’s "Pallet Flow Forecast" project. Cafeína para la innovación - Café Sci-Fi: Co-producer and Speaker at the Café Sci-Fi edition of LATAM’s "Cafeína para la innovación" series of virtual meetings; a fun and interactive experience to promote Data-Driven Culture awareness in CHEP LATAM’s collaborators. Orgullo LATAM Meeting 2023 - Panama: Speaker at LATAM’s Advanced Analytics team’s intervention at CHEP LATAM’s OLA Meeting in Panama City, showcasing our ML-Forecasting platform. (October 2023) DigiWeek 2024: Speaker at DigiWeek’s "Tech Showcase", demonstrating several of our Advanced Analytics team’s projects. (February 2024)

Unilever de Mexico | Dec 2020 - Oct 2021

IC BIC Data Scientist

Responsibilities: • Member of the Data Science Team for IC Category in Mexico-Caribbean • Design and development of machine learning/data science solutions in support for many areas inside the firm such as Customer Marketing, Brand Building, Sales and others • Creation of metrics and BI dashboards that provide formerly unknown insights to many stakeholders • Programming and implementation of automatized cloud-based workflows that allow the company to extract knowledge from previously disjointed datasets, as well as using it in collaborative planning with institutional customers, clustering of points of sale, Sell-In/Sell-Out forecasting, etc. Main Achievements: • I helped to implement a cloud-based battery of BI dashboards containing metrics and insights that assisted managers of the category while making decisions and adapting business plans during the 2020/21 COVID-19 pandemic • My team and I managed to great effect to provide many stakeholders with estimates of Sell-Out product rotation across geographies, distribution channels, clients and CVA’s, including the difficult but extremely important TT Channel

ADRISA - Agente de Seguros y Fianzas | Mar 2018 - Apr 2019

Statistical Studies and Actuarial Consulting Executive

Responsibilities: • Collaboration at every stage of the actuarial valuation of labour liabilities and benefit plans, which was the team’s main product. These valuations were carried out in compliance with either Mexican, International or American generally accepted accounting principles and regulations. • Support for the insurance brokerage division by generating automated statistical reports that summarized information on claim frequency and severity for many of the company’s key accounts so that their managers understand the current pricing of their policies. • Production and issuing of communication products (e.g. slides and workshops) aimed to the client’s employees and managers regarding subjects such as retirement plannings, finance, the importance of saving and others. These products were designed to provide added value to the teams main services. Main Achievements: • Using the R programming language I created a library containing all functionalities needed to automatize claim frequency and severity reports for many of the firm's institutional clients. Additionally, these reports were successfully migrated from MS PowerPoint to a cloud-based MS Power BI app • Using the Julia programming language I produced computer code that automated parts of the actuarial valuation of labour liabilities process that were formerly performed manually, e.g. verifying and cleaning of the clients payroll information and estimating zero-coupon yield curves from current prices of government bonds and other securities.

Secretaría de Agricultura, Ganadería, Desarrollo Rural, Pesca y Alimentación (SAGARPA) | May 2016 - Dec 2017

Statistical Analsys Adviser

Responsibilities: • Continuous collaboration with then Mexico’s Agriculture Undersecretary’s adviser team, supporting them with analytical power when designing public policies for the development of priority/ strategic agroproductive chains • Gathering and analysis of datasets related with production and pricing of malting barley in both domestic and international markets. This information was crucial for the government’s mediation of a bitter dispute between local barley producers and two massive transnational beer brewing concerns. • Strategic planning for optimum resource allocation in a public agricultural loan program meant to encourage the cultivation of high-value perennial crops in Mexico. Main Achievements: • A historic rise was achieved in the price paid by the two largest beer brewing concerns to local malting barley producers. It was also the first price hike perceived by the producers in over a decade • Figures and graphs elaborated by our team appeared on SAGARPA’s National Agricultural Plan 2016-2030, published in late 2016

My Education

Take a look at my formal education

BA in Actuarial Science in Actuarial ScienceUniversidad Nacional Autónoma de México

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