Description

I am a Senior Python Developer and Data Scientist with 10+ years of experience delivering data-driven solutions across industries such as CPG/FMCG, energy, education, and non-profits. My expertise lies in Python, SQL, Retool, and low-code platforms, with a proven track record of turning complex data into actionable insights and scalable tools.

What I Do

Custom Retool Apps & Workflows: I design and build internal tools that transform raw data into decision-ready dashboards. From SQL queries and APIs to dynamic workflows in Python and JavaScript, I help teams work faster and smarter.
Data Science & Machine Learning: I’ve led the deployment of predictive algorithms in Python (FastAPI, Pandas, Scikit-learn, TensorFlow) used by hundreds of end-users, including a Pernod Ricard system that boosted brand velocity 2.5x and was featured in a Harvard Business School case study.
API & Workflow Integration: I connect ML models to user-facing apps with strong validation, monitoring, and CI/CD practices.
Analytics & BI: I deliver interactive dashboards (Power BI, Qlik, Retool) and automated pipelines that empower confident, data-driven decisions.

Highlights

Built and scaled a Retool-based decision-support platform for a global sales force (300,000+ outlets).
Developed predictive models in production, earning a Global Operational Excellence Award (2025).
Supported organizations from Fortune 100s to non-profits, adapting quickly to diverse data environments.
Volunteer work as a solutions architect for schools and state organizations, creating impactful community tools.

Tech Stack

Programming: Python, JavaScript, SQL, Git
Frameworks & Tools: Retool, FastAPI, Streamlit, Jupyter, DBT, Snowflake, Power BI, Qlik
Cloud & DevOps: AWS, Azure, CI/CD, Databricks

If you need someone who can bridge data science, automation, and internal tools, while keeping usability and business impact front and center, I’d be glad to help.

Industry field of expertise

Languages

English
Native or bilingual

Workplace preferences

Can work on-site

Houston (up to 30km)

Pernod Ricard
Data Scientist& RetoolDeveloper
WINE AND SPIRITS
September 2021 - Today (4 years and 9 months)
Paris, France
• Lead the development and industrialization of a Python-based machine learning predictive algorithm to predict sales opportunities for over 300,000 retail outlets across all 50 US states.
◦ Currently used by hundreds of sales representatives across all 50 United States, supporting smarter field execution in Pernod Ricard's largest market and increasing brand velocity by 2.5x.
◦ Featured in a Harvard Business School case study for excellence in digital transformation. delivering measurable through data-driven innovation.
• Design, scale and maintain a decision-support system using Retool, SQL, and JavaScript that transforms raw sales and outlet-level data into targeted recommendations, helping sales representatives prioritize visits, tailor commercial actions, and increase productivity.
• Design and implement RESTful API endpoints using FastAPI to connect Python-based machine learning models with internal user interface tools. Ensure robust parameter handling, input validation, and asynchronous execution to support prediction workflows.
• Ensure data quality, automated pipelines, and robust model performance monitoring, guaranteeing trust and transparency in day-to-day usage.
• Collaborated with globally distributed teams in analytics, business, operations, and information technology to translate fast-changing requirements into efficient, reliable, and production-ready features.
JavaScript SQL Python API Retool
Houston Food Bank
Data Scientist-BIDeveloper
PUBLIC SECTOR
February 2021 - October 2021 (8 months)
Houston, TX, USA
• Delivered business intelligence tools for America's largest food bank using SQL queries and JavaScript (via Retool).
• Developed and managed documentation for internal and external tools, empowering users to efficiently navigate complex datasets and make informed, data-driven decisions.
• Provided technical support and training, responding to data science requests from various business units.
JavaScript SQL Retool Data science Low-code
ORTEC USA
Data Scientist(promoted
ENERGY AND UTILITIES
January 2019 - November 2020 (1 year and 10 months)
Houston, TX, USA
• Developed and implemented data-driven optimization tools for Fortune 100 clients, enhancing big data analysis platforms and improving supply chain management with predictive algorithms.
• Created and maintained Python workflows, using libraries such as Pandas, and automated data connections with sources like Microsoft SQL Server.
• Designed relational data models and developed visualizations in Python and Spotfire to clarify machine learning model parameters, increasing client confidence in predictions.
• Collaborated with users to identify and integrate data supporting business objectives and authored technical documentation to support project initiatives.
• Employed SDLC and CI/CD practices using Git in agile environments, enhancing business intelligence tools and developing logistics applications.
• Led client meetings and managed relationships, creating project scopes-of-work during global crises.
Python Pandas Data science