Professional info
I am a data scientist with 8 years of experience, and I am seeking new opportunities in the field. I am a dedicated and creative professional.
In 2015 I created predictive maintenance models for ADO in Mexico City.
From 2017 to 2020 I developed social risk models for UNAM in Mexico City.
In 2021 I colaborated to create the GeoMarketing Model and the Digital Marketing Optimization Model, and also developed the UTM's calculator for full funnel digital tracking for ABInBev in Mexico City
In 2022 I developed a set of Data Science trainings for the Monterrey Digital Hub in Mexico City
This year I developed the IBP Forecasting models for Reckitt Benckiser in Mexico City.
My skills include a diverse range of software listed on the right.
Languages
Spanish (Native)
English (Advanced)
Italian (Basic)
Work experience
Neoris
Data Science Expert Consultant (Apr 2022 - Present)
Reckitt Beckinser
► Multi-Retailer (Price Club, Drug Store, Self Service) IBP Forecasting for Drug Products, Milk Modifiers, and Baby Formulas with accuracies of up to 90% at a national level, widely recognized as one of the best models at a global level.
► Raising awareness of security and privacy in the use of AI, implementing AI Copilots to increase productivity by up to 40%.
► Azure Databricks, Azure Storage, Power Automate, and Power BI Integrations reducing labor time by up to 200 hours per year.
► Results presentation to National and Global Leaders.
► Obtained a Reckitt Compass Award as one of the World's best models.
Monterrey Digital Hub
► Train over 200 employees from different corporations (Cemex, DeAcero, Neoris, Sigma, Femsa, Home Depot, Banorte, Oxxo, Ragasa, Xignux) as Data Scientists inside Monterrey Digital Hub and DataRebels.
► Creation of live and on-demand LMS Data Science training programs with an average NPS of 90/100 and an engagement time of up to 90%.
► Integration of Business Model Canvas and Stakeholder Analysis in Learning Programs and Project Development, increasing the training demand by 20%.
► Evaluating feasibility and performance of Data Science projects, by budget and time optimization, increasing graduation rate by 30%.
National Autonomous University of Mexico
Data Science Teacher (August 2020 - Present)
► Creation of the curricula “Data Science Applied in the Energy Sector”
for the Master's and PhD program in Energy Engineering.
► Proposal to include ML, DS, and AI in every Bachelor's Degree for the School of Engineering
► Evaluation of the performance of models proposed by students
in their own projects.
► Submission of recommendations for increasing the performance of the
models proposed by students.
► Application of data science in energy investigations (solar, wind,
hydroelectric, and energy planning).
AB-InBev
Marketing Science Lead (June 2021 - May 2022)
► Creation of data-driven models for audience targeting and campaign optimization, obtaining improvements up to 20% vs 5% in the KPI with budgets from 5-60 MDP.
► B2B & B2C customer full-funnel multi-platform integration for Ecommerce via Salesforce Datorama.
► Creation of taxonomy for UTMs, QRs, bitlys, and, deep links enabling the 360 tracking in owned channels.
► Results presentation to national and global directors and marketing vice presidents.
► Awarded as the "World Best Data Team in ABInBev" on 2021.
Global Factor
Data Science and Sustainability Consultant (April 2021 - December 2021)
► Analysis of qualitative and quantitative co-benefits with a Data Science approach to create a data-friendly assessment process.
► Creating of key-value modules and visualizations in open-source tools, increasing software adoption by 20%.
► Creation of workshops to train users and administrators through online training, training up to 100 employees in the energy sector.
National Autonomous University of Mexico - Energy Planning Unit
Data Science Coordinator (August 2017 - December 2020)
► Lead author and conference speaker at the International Seminar: Frontier Topics in Sustainability, 2019, IV Latin American Risk Analysis Society Conference, among others.
► Lead author of the article “Social and environmental conflict analysis on energy projects: Bayesian predictive network approach” published in the Energy Policy Journal.
► Energy analysis and sustainability troubleshooting, solving Mexican Department requests to the University.
8looocky Corp.
Assistant General Manager (June 2015 - January 2017)
► Creation of a UTM's generation tool to track 100% of the digital customer journey
► Development of commercial strategies for customer type, increasing sales by 15%.
► Work order management processes, increasing on-time job delivery by 30%.
► Managed a team of 3 people.
Ventas SA.
Business Analyst (January 2016 - July 2016)
► Problem analysis and troubleshooting with Kanban, and Gemba.
► Improved telemarketing dialog and keuwords, increasing sales by 5%.
► Managed a team of 7 people.
Autobuses de Oriente.
Junior Supervisor (March 2015 - August 2015)
► Workshop problem-solving with Kanban, Gemba, and SMED, reducing the time buses spend on routine inspections by 10%.
► Update of the security equipment of 100% of buses in one month.
► Managed a team of 15-20 people
Freelance
CAD Designer (January 2014 - February 2015)
► Design of mechanical parts for cars with SMED productive process, delivering 100% of orders on time.
► Managed a team of 5 people.
National Autonomous University of Mexico
Adjunct Assistant Professor (January 2013 - January 2014)
► Upgraded traditional workbooks to electronic presentations.
► Redesign of exams and evaluations.
► Managed groups of 25-35 students.
Hard Skills
Anaconda
Appsflyer
Autocad
Azure
Brandwatch
Business Manager
C++
CDP
Fluidsim
GPT
GeNIe
Google Ads/Analytics/Cloud
/Colab/Data Studio
Databricks
Hugin
Illustrator
Lisrel
Looker
Logosoft
Matlab
Mastercam
Microsoft 365
Miro
Moat
Photoshop
Power BI
Power Apps
PMO
Prezi
Python
Salesforce Datorama
Saphire
Smartdraw
SPSS
SQL
Tableau
Termograf
Visio
VSCode
Watson
Wordpress
XLSTAT
Soft skills
Adaptability
Assertive communication
Creativity
Dashboard build/design
Early Learning
ECO217 Instructor
Emotional Intelligence
Prioritization
Public Speaking
Problem Solving
Team Leader
Education
Doctoral Degree in Energy Engineering - Applied Data Science
National Autonomous University of Mexico, Mexico City, Mexico (August 2017 - Jan 2022)
Master's Degree in Energy Engineering - Applied Data Science
National Autonomous University of Mexico, Mexico City, Mexico (August 2015 - July 2017)
Bachelor's Degree in Industrial Engineering
National Autonomous University of Mexico, Mexico City, Mexico (August 2010 - July 2014)
Associate's Degree in Environmental Diagnostic
National Polytechnic Institute, Mexico City, Mexico (August 2006 - July 2009)