André Sigora

Defined and implemented complex data attributes and segmentations, directly enhancing iFood's operational efficiency and strategic planning.

Led the User Profile segmentation group, establishing a unique, centralized, and consistent view of iFood's diverse customer base.

Collaborated extensively with cross-functional teams to ensure alignment on User Profile attribute values, driving effective data strategies and informed business decisions.

Optimized iFood's system responsiveness to User Profile content, improving data-driven automation and personalized user experiences for millions of users.

Mentored numerous aspiring data scientists, providing comprehensive guidance on advanced concepts and practical project implementation.

Guided mentees in developing proficiency across data analysis, machine learning algorithms, and data visualization techniques.

Provided constructive, personalized feedback on projects, enabling mentees to achieve specific learning objectives and accelerate their career development.

Generated actionable insights from complex consumer behavior data, enabling data-driven decisions that enhanced product features and user engagement.

Conducted in-depth analysis of customer preferences in online food ordering, identifying key trends to optimize user experience and product offerings.

Applied diverse data analysis techniques to explore challenging topics, leading to significant improvements in consumer application performance.

Solved complex product challenges through a rigorous data-driven approach, significantly improving decision-making processes and outcomes.

Developed and deployed machine learning-based recommendation models, optimizing restaurant performance and enhancing product offerings.

Delivered high-impact analytics that directly contributed to iFood's growth and market dominance within the highly competitive Brazilian foodtech sector.

Engineered automated ETL processes using Spark, Python, and SQL, ensuring reliable delivery of trusted data to business analysts across product teams.

Developed data science and machine learning models to accurately predict, describe, and prescribe key iFood sales events, informing strategic planning.

Conducted comprehensive market sizing and share analysis for the food delivery sector, providing critical insights for strategic sales decisions.

Managed the end-to-end pipeline of web-scraping tools, ensuring continuous acquisition of vital market data and competitive intelligence.

Utilized a robust tech stack including Python, Tableau, SQL, Spark, and AWS to drive data science and Big Data initiatives for the sales department.

Developed statistical predictive models that significantly enhanced operational efficiency and supported data-driven decision-making.

Contributed to the design and implementation of a dynamic supply-demand pricing system, optimizing market equilibrium and revenue streams.

Implemented spatial analytics to drive targeted customer acquisition strategies, improving outreach effectiveness and market penetration.

Performed comprehensive web scraping to identify new leads and generate critical market insights for business development.

Led all key projects within the Logistics Department, driving significant operational improvements and process efficiencies.

Tracked fleet cycle time and implemented measures that contributed to reduced process losses and increased overall efficiency.

Conducted audits of main internal control systems within Logistics, ensuring compliance with company standards and operational integrity.

Served as a Quality Pillar member, leading quality meetings and implementing action plans based on client complaints and quality assessments.

Generated daily and monthly performance reports utilizing Microsoft Excel and SAP, providing critical data for management decision-making.

Contributed to the "Design of a pediatric exoskeleton for lower-limb rehabilitation" project, focusing on innovative medical device development.

Executed mechanical design and prototyping of the exoskeleton, ensuring alignment with target population needs and specifications.

Developed extensive experience in data analysis, 3D modeling, and rapid prototyping, applying these skills to complex engineering challenges.