Produced a machine learning churn prediction model (Python, scikit-learn) that identified 8% of client's workforce at risk, enabling HR to implement targeted retention strategies and reduce attrition. Launched an automated Lead Scoring system utilizing multi-dimensional KPIs to standardize performance ranking; reduced manual evaluation effort by 32% while optimizing the selection funnel for high-potential talent. Enhanced demand forecasting models to predict inventory bottlenecks and supply chain inefficiencies. Designed and implemented a Retrieval Augmented Generation (RAG) system to query internal documentation, combining vector search with LLM-based answer generation. Saving approx. 2hrs of weekly information search for users. Collaborated with cross-functional teams to define KPIs and ensure measurability of efficiency gains.

Victor Serrano Garcia

Produced a machine learning churn prediction model (Python, scikit-learn) that identified 8% of client's workforce at risk, enabling HR to implement targeted retention strategies and reduce attrition. Launched an automated Lead Scoring system utilizing multi-dimensional KPIs to standardize performance ranking; reduced manual evaluation effort by 32% while optimizing the selection funnel for high-potential talent. Enhanced demand forecasting models to predict inventory bottlenecks and supply chain inefficiencies. Designed and implemented a Retrieval Augmented Generation (RAG) system to query internal documentation, combining vector search with LLM-based answer generation. Saving approx. 2hrs of weekly information search for users. Collaborated with cross-functional teams to define KPIs and ensure measurability of efficiency gains.

Available to hire

Produced a machine learning churn prediction model (Python, scikit-learn) that identified 8% of client’s workforce at risk, enabling HR to implement targeted retention strategies and reduce attrition.
Launched an automated Lead Scoring system utilizing multi-dimensional KPIs to standardize performance ranking; reduced manual evaluation effort by 32% while optimizing the selection funnel for high-potential talent.
Enhanced demand forecasting models to predict inventory bottlenecks and supply chain inefficiencies.
Designed and implemented a Retrieval Augmented Generation (RAG) system to query internal documentation, combining vector search with LLM-based answer generation. Saving approx. 2hrs of weekly information search for users.
Collaborated with cross-functional teams to define KPIs and ensure measurability of efficiency gains.

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Language

Spanish; Castilian
Fluent
English
Advanced
German
Beginner

Work Experience

Junior Data Scientist at QIRO DATA
January 1, 2023 - January 1, 2025
Produced a machine learning churn prediction model (Python, scikit-learn) that identified 8% of the workforce at risk, enabling HR to implement targeted retention strategies and reduce attrition. Launched an automated Lead Scoring system utilizing multi-dimensional KPIs to standardize performance ranking; reduced manual evaluation effort by 32% while optimizing the selection funnel for high-potential talent. Enhanced demand forecasting models to predict inventory bottlenecks and supply chain inefficiencies. Designed and implemented a Retrieval Augmented Generation (RAG) system to query internal documentation, combining vector search with LLM-based answer generation, saving approx. 2hrs of weekly information search. Collaborated with cross-functional teams to define KPIs and ensure measurability of efficiency gains.
Tech Consultant at G SMB
January 1, 2024 - January 1, 2025
Automated document management workflows (intake, naming conventions, versioning, and filing rules) to improve traceability and reduce manual admin work. Designed and implemented an automated Python script to create reusable templates for commercial contracts for customers to speed up contract drafting and reduce manual errors, reducing the drafting workflow in several hours per month. Consolidated dispersed operational data into a structured database in PostgreSQL to enable reliable processing and tracking of financial orders. Built ETL scripts to clean, normalize, and validate records before ingestion using Pandas. Worked directly with lawyers and financial advisors to translate everyday pain points into practical technical solutions and clear, repeatable workflows.
Waiter & Front-of-House Manager at Chirin Sidi
January 1, 2023 - January 1, 2023
Responsible for customer service at the bar and on the terrace, as well as managing reservations and coordinating tables in a high-demand venue in an exclusive area of Alicante.
Construction Site Worker at Compass Construction
January 1, 2022 - January 1, 2022
Performed asbestos removal and hazardous material handling in compliance with Swiss safety regulations, using certified protective equipment and strict operational protocols. Executed building cleaning and site preparation tasks to ensure facilities met health, safety, and readiness standards prior to renovation or occupancy.

Education

Master in Data Science and Artificial Intelligence at MBIT Data School
January 1, 2025 - January 1, 2026
Data Science and Machine Learning program at Data Science for Business
January 1, 2023 - January 1, 2024
Bachelor in Legal Sciences at Universidad Carlos III of Madrid
January 1, 2021 - January 1, 2025
Academic Preparation / British School at Laude Newton College - British School
January 1, 2007 - January 1, 2021

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Education, Travel & Hospitality, Professional Services, Retail