I'm Juan Pablo Peche — a Data Science Manager and AI/ML strategist with 14+ years of experience helping organizations unlock revenue, cut inefficiency, and make smarter decisions at scale.
I build data science and AI solutions that help companies grow faster. From forecasting models and GenAI agents to executive dashboards and KPI frameworks, I bridge the gap between complex analytics and clear business outcomes.
My career spans supply chain optimization, commercial planning, pricing analytics, and marketing — always with the same goal: translate data into action. I've led and coached teams of data scientists and analysts, partnered with C-level and VP stakeholders, and shipped production ML systems used across global organizations.
I hold a Master of Science in Analytics from Georgia Tech and a B.S. in Systems Engineering from the University of Lima. I'm currently based in Baton Rouge, LA.
I set a clear direction and paint a compelling picture of where the team is headed. By connecting day-to-day work to a larger purpose, I give people the context they need to move fast and make confident decisions on their own.
I bring the team into the decision-making process. I actively seek input, encourage debate, and make sure every voice shapes the outcome — building genuine ownership and ensuring the best ideas rise to the top.
Together, these styles create high employee engagement, faster innovation, and strong commitment to a clear, shared future — a combination that consistently drives teams to deliver beyond expectations.
Leading analytics strategy for SMB growth — designing marketing and initiatives that boosted revenue by 20%, building AI automations that cut manual effort by 40%, and coaching a team of analytics engineers on KPI definition and performance tracking.
Drove AI, ML, and GenAI initiatives for supply chain planning products. Developed clustering and forecasting heuristics that reduced planning effort by 40%, deployed business-language agents as part of the Logility Expert Advisor.
Built demand outlier and pattern-change detection models that improved forecast accuracy by 20% and delivered $100K in direct P&L impact. Created ML initiatives that led to executive Power BI dashboards and which improved the forecasting indicators.
Pitched and built an analytics commercial planning program that cut cycle time by 50% for a 250-person department, transforming the corporation's planning process end to end. Delivered forecasting improvements that saved $1M by reducing error and catching demand shifts earlier.
Provided consulting to AJE, a multinational operating in 22 countries. Deployed a simulation model for production scheduling that cut cycle time by 25% and helped achieve a 95% service level.
From forecasting pipelines and clustering models to GenAI agents with LangChain and RAG — I ship ML that works in production, not just notebooks.
I design KPI frameworks, funnel analytics, and pricing models that tie directly to revenue and efficiency. Every insight has a number attached.
I translate complex data into executive-ready narratives. I've partnered with VPs and directors across commercial, marketing, supply chain, and technology functions.
I build and coach high-performing analytics teams — mentoring data scientists and engineers on methods, delivery habits, and stakeholder communication.
I've automated workflows that reduced manual effort by 40%, slashed reporting cycles from days to minutes, and streamlined processes across entire departments.
From ETL pipelines and data warehouses to self-service dashboards and coding standards — I build the foundation that makes analytics scalable.
Atlanta, GA — Advanced study in machine learning, statistical modeling, and computational data analysis.
Lima, Peru — Foundation in optimization, operations research, and technology systems design.
Whether you need a data science leader, an AI strategy partner, or help turning analytics into growth — I'd love to connect.