Summary
Overview
Work History
Education
Skills
Websites
Phone
Timeline
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Diego Alberto Salcedo Guerra

Lima

Summary

Senior Actuarial Business Analyst with over 4 years of experience in actuarial analysis, Data Science, and Data Engineering (Google Data Platform). I have led global projects in Insurance, Banking, and Aerospace, applying advanced techniques in Statistics and Machine Learning. Passionate about leveraging AI and Machine Learning in applications for the Non-Life insurance sector. As an Actuarial Consultant at Charles Taylor InsureTech, I was responsible for actuarial configuration and the implementation of solutions for clients in Europe and LATAM. I am also a teaching assistant at UTEC and a BREIT ambassador since the MIT Celebration 2023, excelling in the Micromaster in Data Science and Statistics from MIT IDSS.

Overview

6
6
years of professional experience

Work History

Actuarial Business Analyst Senior

Charles Taylor InsureTech
09.2023 - Current
  • Location: London, United Kingdom.
  • I held the role of Lead Consultant, responsible for planning, actuarial configuration, and other tasks related to the project.
  • Collected, analyzed, and configured actuarial requirements for client projects (Europe and LATAM)
  • Configured the INSIS Life Math module, which performs all actuarial calculations based on the actuarial models for each project
  • Analyzed business processes, developed requirements, and created business documentation
  • Configured products and rules within the INSIS application
  • Led workshops for clients within the scope of INSIS projects in Eindhoven (Netherlands), London (United Kingdom), Mexico City (Mexico), and Montevideo (Uruguay)

Statistical Teaching Assistant

Universidad de Ingenieria y Tecnologia
10.2022 - Current
  • Provided academic support to students in the Statistics and Probability I course lab
  • Enhanced the question bank
  • Assisted in developing lab classes and reinforcement sessions throughout the academic semester

Data Scientist

Banco de la Nacion
03.2023 - 08.2023
  • Location: Lima, Peru
  • Contract Type: Temporary Freelance Project
  • Developed a scoring model based on the risk management of money laundering and terrorist financing (ML/TF)
  • Developed an analytical model to profile customers of Banco de la Nación based on their transactions with financial products offered and in accordance with money laundering and terrorist financing (ML/TF) risk management

Data Scientist

SKY AIRLINE
04.2022 - 04.2023
  • Location: Santiago, Chile.
  • Developed the Data Warehouse for the Customer Service Center, Returns, Process Observability, among others.
  • This required designing the complete architecture and coordination with the Data Governance and Service Cell teams
  • Notably, data included for client prioritization in the Contact Center (affectations and segmentation)
  • Designed, built, and maintained ETLs for daily data loading from sources such as MongoDB and MySQL to Cloud Storage and BigQuery
  • Collaborated with Data Governance for architecture creation and documentation
  • Conducted the migration process of valid vouchers from Radixx to Wallet, followed by an audit
  • Reduced Contact Center workload by 5x and decreased incorrect return detection time by 40% through the Return Fee project
  • Leveraged Levenshtein Distance to identify cases where payment and personal information matched between the payer and requester
  • Decreased costs by $500,000 due to reduced delays since December 2021 through the Proactive Airport Fee Return project (SQL and NoSQL)
  • This initiative enabled the company to migrate its process to GCP, facilitating the identification of passengers unable to board
  • Reduced identification time for services in Manage My Booking by 95% for error-prone cases
  • Achieved through the Observability Analysis project for various Microservices
  • Developed and maintained pipelines in the Service Squad, along with various required analyses using Git, Visual Studio Code, Google Data Products (Cloud Storage, BigQuery, Dataproc), and Airflow (scheduler)

Research Assistant

Universidad Privada Cayetano Heredia
11.2021 - 12.2022
  • Developed the paper 'The association of commuting patterns of the incidence of Tuberculosis in Lima, Peru: A network analysis.' Collaborated with the Health Innovation Lab, Institute of Tropical Medicine Alexander von Humboldt, Universidad Peruana Cayetano Heredia, London School of Hygiene and Tropical Medicine, London, UK, and Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
  • Presented as a poster in October 2023 in Montevideo, Uruguay

Data Scientist

Banco de Credito del Peru
07.2021 - 04.2022
  • Completed 100% of models and analyses commissioned during my tenure as the project's analytical lead within the Running Squad, Business Banking, including model tracking and eventual calibration of credit models.
  • Reduced S/20 million in losses by early alerting specific customers who were likely to default, this was achieved through the creation of an Early Warning Alerts model
  • Increased balances by S/80 million in addition to the budgeted growth, with my Squad, leveraging the predictive model output and other business criteria to improve the effectiveness of client selection for growth
  • I used variables using Graph Theory to enhance an Early Warning Alerts model, aimed at anticipating as much as possible and knowing which customers will default

Data Scientist

Rimac Seguros y Reaseguros
11.2020 - 02.2021
  • Contract Type: Temporary Freelance Project
  • Led the analytical front of the project (objective definition, data extraction and preparation, model development).
  • Coordinated with areas such as Analytics, Pricing, Actuarial, and Risks
  • Developed a Predictive Model for Renewals of the Multirisk Product
  • Established optimization rules for Rates in the Multirisk Product Policy universe

Practicante De Riesgos Técnicos

Rimac Seguros y Reaseguros
03.2020 - 11.2020
  • Extracted, processed, and analyzed databases, as well as automated processes
  • Analyzed mortality, falls (Monte Carlo Simulation, Copulas)
  • Automated processes in R and SQL, reducing execution time
  • Supported in the calculation, analysis, and monitoring of various technical risk factors for insurance (KRIs)

Practicante Gestión Y Modelación Actuarial

La Positiva Seguros
01.2019 - 01.2020
  • Extracted, processed, and analyzed databases (SQL), as well as developed and adjusted Actuarial Models
  • Reviewed data quality used for Technical Reserves calculation
  • Optimized processes for Individual and Group Life Insurance quoters (SQL and Visual Basic), significantly reducing execution time
  • Supported in preparing information required by the SBS, External Auditors, and Risk Rating Agencies
  • Assisted in presentations to the Board - Liability Coverage and Profitability Tracking

Education

Bachelor of Science - Statistical Engineering

Universidad Nacional de Ingeniería
03.2021

Graduate of the Micromaster - Statistics and Data Science

MIT
12.2022

Skills

  • Python
  • Visual Basic
  • SAS
  • R
  • C
  • Spark
  • MATLAB
  • SQL
  • PostgreSQL
  • Oracle
  • MySQL
  • MongoDB

Phone

+51 947342331

Timeline

Actuarial Business Analyst Senior

Charles Taylor InsureTech
09.2023 - Current

Data Scientist

Banco de la Nacion
03.2023 - 08.2023

Statistical Teaching Assistant

Universidad de Ingenieria y Tecnologia
10.2022 - Current

Data Scientist

SKY AIRLINE
04.2022 - 04.2023

Research Assistant

Universidad Privada Cayetano Heredia
11.2021 - 12.2022

Data Scientist

Banco de Credito del Peru
07.2021 - 04.2022

Data Scientist

Rimac Seguros y Reaseguros
11.2020 - 02.2021

Practicante De Riesgos Técnicos

Rimac Seguros y Reaseguros
03.2020 - 11.2020

Practicante Gestión Y Modelación Actuarial

La Positiva Seguros
01.2019 - 01.2020

Bachelor of Science - Statistical Engineering

Universidad Nacional de Ingeniería

Graduate of the Micromaster - Statistics and Data Science

MIT

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Diego Alberto Salcedo Guerra