Trully

Trully is an advanced identity enrichment platform that leverages the latest advancements in artificial intelligence, collective intelligence, and big data to minimize risk for organizations across various industries, including finance and fraud. By identifying and stopping fraudulent actors within our network, we aim to create a safer and more secure environment for all stakeholders.

As we continue to grow, Trully is poised to become the largest digital footprint and the go-to source for data collection in LATAM. Our unique data assets enable companies to take decisive actions against impersonation fraud, better target customers, predict income levels, and make informed underwriting decisions.

At Trully, we are committed to delivering exceptional results through innovation, collaboration, and a relentless focus on customer satisfaction. Our cutting-edge technology and industry-leading expertise make us an invaluable partner for any organization seeking to minimize risk and maximize value.

Co-Founder & CTO

Emeritus

Course Leader at Emeritus for USA:
Carnegie Mellon - Programming with Python
Carnegie Mellon - Introduction to Artificial Intelligence
Carnegie Mellon - Machine Learning: Fundamentals and Algorithms

Course Leader

Emeritus - LATAM

Course Leader at Emeritus for Latin America:
MIT xPro - Programa de Aceleración de la Tecnología y la Innovación.
MIT xPro - Diseño y Desarrollo de Productos y Servicios de Inteligencia Artificial.
Berkeley - Inteligencia Artificial: Estrategias y aplicaciones de negocios.

The Data Pub

Youtube Channel:
https://www.youtube.com/c/TheDataPubChannel/videos

Meetup:
https://www.meetup.com/es-ES/thedatapub/

Facebook Page:
https://www.facebook.com/thedatapub

Facebook Group:
https://www.facebook.com/groups/thedatapubcommunity/

Organizer

Rappi

Rappi is a consumer tech company that specializes in providing online delivery services. As the Head of Data Science for LATAM region, my role was to bring Rappi’s new product (consumer credit card, RappiCard) up to speed in data driven decision making, developing and recruiting the DS and ML team, improving and standardizing the processes for extracting insights from data and creating machine learning models to create impact in the areas of risk, fraud and growth. Important key results include lowering and keeping onboarding fraud below one percent across all countries, develop the first credit approval models using alternative super app data. As a Head of Data Science and Artificial Intelligence at Rappi in the global division, I am managing a team to develop and deploy machine learning models across the organization for credit risk decision making, fraud detection and customer success.

Head of Data Science & Artificial Intelligence

Chubb

Managed the digital transformation towards advanced analytics, predicting churn, pricing optimization

Collective Academy

Computer Science Mentor

Collective Academy is an educational platform designed to empower professionals and entrepreneurs to solve their daily challenges through the disciplines of greatest impact in the world.

Currently a mentor of Data Science for the Master in Business and Technology of Collective Academy. I teach about data-driven decision making following a business analysis framework, from the definition of the business objective to the evaluation of the results of our analysis and decisions.

https://collectiveacademy.co/

Data-Driven Decision Making Mentor

Raken Data Group

Lead Data Scientist

Senior Data Scientist Consultant

Konfio

Senior Data Scientist

Machine Learning Engineer

Konfío is an online lending platform for small businesses in Mexico that uses transactional data for rapid credit assessment, allowing owners to focus on what’s important - growing their business. #negociosinlimites

Data Scientist

Mapper Digital

Mapper gives you the tools to evaluate the investment of different potential properties for sale. With Mapper you can query an extensive database with housing market data and legal information available and in real time.

- Developer of the data infrastructure to hold real state data, including the use of a geospatial database.
- Time series analysis to forecast the value of property.
- Scraping and ETL of real state data on the web.

Mapper gives you the tools to evaluate the investment of different potential properties for sale. With Mapper you can query an extensive database with housing market data and legal information available and in real time.

- Developer of the main application using Django.

Python Developer

Visit me at 👉: https://carlwhandlin.com/ 🌐

Over 10 years of experience in the areas of Data Science and Machine Learning. Master's degree in Computer Science and B.E. Degree in Engineering Physics from Monterrey Institute of Technology and Higher Education.

Python programmer with experience in data-driven decision making, business analytics, data extraction, data parsing / filtering, data visualization, unsupervised / supervised learning, feature selection, machine learning.

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