Alejandra Hernández Rejón

Sr. Data Scientist at Deel
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
Benito Juárez, Mexico City, Mexico, MX
Languages
  • Inglés Native or bilingual proficiency
  • Español Native or bilingual proficiency
  • Dutch Elementary proficiency

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
You need to have a working account to view this content.

Credentials

  • Python esencial
    LinkedIn
    Jun, 2022
    - Nov, 2024

Experience

    • United States
    • Human Resources Services
    • 700 & Above Employee
    • Sr. Data Scientist
      • Aug 2022 - Present

      • Responsible for utilizing probabilistic and machine learning algorithms to forecast sales accurately. • Conducted retention analysis per customer segments to support data-driven decision making. • Responsible for utilizing probabilistic and machine learning algorithms to forecast sales accurately. • Conducted retention analysis per customer segments to support data-driven decision making.

    • Switzerland
    • Food and Beverage Services
    • 700 & Above Employee
    • Data Scientist - Tech Lead Senior
      • Aug 2020 - Jul 2022

      • Successfully implemented and deployed optimization solutions for production planning processes, resulting in a significant reduction in product change time and maximized resource utilization. Implemented in 10 countries in LATAM, achieving customer service levels of 99%+ and annual savings of USD 1.06 million. • Developed a comprehensive AI-based solution for automatically validating the display of products, prices, and promotions in stores using object detection models. Achieved a mean average precision of 80%. Show less

    • Data Scientist
      • Mar 2019 - Jul 2020

      • Executed end-to-end data science development process for a churn prediction model in the health insurance industry, including data pre-processing, exploratory data analysis (EDA), feature engineering, model assessment, deployment, documentation, and knowledge transfer. Achieved an AUROC of 78%. • Designed and analysed experiments using deep learning techniques to detect fraud in the financial industry by validating customers' signatures against personal IDs. • Conducted research, data exploration, visualization, wrangling, assessment, and deployment of various machine learning models. Show less

    • United Kingdom
    • Financial Services
    • 700 & Above Employee
    • Senior Credit Risk Manager
      • Mar 2010 - Jul 2017

      • Conducted data analysis, pre-processing, EDA, feature engineering, and model development to control and mitigate delinquency in credit risk. Successfully designed strategies for segmentation of the population to facilitate credit application approval/decline, assigned differentiated credit limits, and pricing. • Led the development and implementation of the 2015 personal loans origination strategy, which doubled the portfolio value (MXN 400 million) while maintaining the same delinquency levels. Show less

Education

  • Tilburg University
    Master of Science - MS, Data Science
    2017 - 2018
  • Instituto Tecnológico Autónomo de México
    Bachelor of Actuarial Sciences
    1999 - 2004

Community

You need to have a working account to view this content. Click here to join now