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Lisandro Manuel De la Torre Rodriguez

@lisandro

Data scientist with 8 years of experience developing Machine Learning models, forecasting and LLM applications integrated into operations.

Brazil

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What I'm looking for

I want to tackle messy, real-world datasets and build innovative models rather than just maintaining routine dashboards. I look for a culture that encourages curiosity, where trying new machine learning techniques and data methodologies is welcomed, because is important to me that my data insights directly drive strategic decisions and create measurable value for the company.

Data scientist with 8 years of experience developing Machine Learning models, forecasting and LLM applications integrated into operations, in sanitation, energy, financial services, healthcare and retail. I work across the full cycle: understanding the business problem, data and feature preparation in Python, PySpark and Databricks, modeling, field validation and deployment, always with measured gains. Experience managing a data team (PicPay), Ph.D. in Electrical Engineering (Unicamp), former PicPay and NTT DATA, and a prior background in teaching and research in pattern recognition and computer vision.

Experience

Work history, roles, and key accomplishments

Current

Consultor Sênior

Current

Galeazzi

Apr 2026 - Present (6 months)

Applied data science to optimize field planning and operations for a major private sanitation company, using Python and Databricks. Developed a calibrated CatBoost model to prioritize about 5,000 cut-off orders per day by expected value, validated in a pilot with AUC 0.82 and approved for production.

Python Databricks CatBoost Oracle Field Service Machine Learning Data Science

Data Science Specialist

Clarity Health

Feb 2025 - Apr 2026 (1 year 2 months)

Proposed and prototyped an LLM pipeline to assess antibiotic prescription adherence to heterogeneous clinical protocols, using prompt engineering, RAG, and iterative output evaluation. Developed predictive models for immunological, cardiological, and endocrine diseases, including a deployed model for rare inborn errors of immunity in children.

Python LLM Prompt Engineering RAG Machine Learning Data Science

R Developer Consultant

Alter Solutions

Apr 2024 - Dec 2024 (8 months)

Took over a proof-of-concept for an optimized task allocation product (R/Shiny) with critical errors and conceptual flaws, redesigned core logic and algorithms, and delivered a functional product sold to a major Portuguese retailer.

R Shiny Data Science Optimization

Gerente de Data Science

PicPay

Apr 2022 - Jan 2024 (1 year 9 months)

Managed a team of 3 data scientists, overseeing project prioritization and delivery. Developed an investment propensity model integrated with marketing and sales, an ARIMAX econometric model for cashout forecasting, and coordinated a macroeconomic indicators platform reducing data-to-use time by 75%.

Python PySpark Machine Learning ARIMAX Oracle Tableau Team Leadership

Cientista de Dados

NTT DATA

May 2021 - Apr 2022 (11 months)

Automated generation of regulatory reports for BACEN using R and RMarkdown, reducing manual work from 3-4 days to minutes. Built an RFM model with Open Banking transactional data to guide initial marketing and conversion plans.

R R Markdown R FM Open Banking Data Science

Analista Sênior

EDP Brasil

Jul 2018 - Apr 2021 (2 years 9 months)

Automated the complete energy pricing process in Python, integrating manual and automatic modules into a single workflow, reducing execution time by 90%. Coordinated technical development of SysCoal, a coal logistics management system, and built dashboards and applications for KPIs, consumption profiles, and portfolio analysis.

Python Power BI R Shiny Data Science Automation Dashboarding