Tsintsun Aime Rangel Moreno Email & Phone Number

Mexico City, Cdmx, Mx

Cdmx, Ciudad De México, México

México

• Oversee end-to-end project lifecycles, including scoping, planning, execution, and delivery, ensuringprojects align with organizational goals, identifying key performance indicators and success metrics.• Collaborate with cross-functional teams, business stakeholders, and leadership to understand analyticalneeds and translate complex findings into actionable insights and recommendations.• Develop and track key performance indicators (KPIs) for monitoring team and project performance.• Perform exploratory data analysis (EDA) to uncover patterns, trends, and insights within large datasetsusing Python.• Develop machine learning models for forecasting and decision-making to enhance data analysiscapabilities. Supervised and unsupervised learning and timeseries (ARMA, ARIMA, and SARIMAX)• Data collection (clean, standardize, collect, and integrate) from structured and unstructured data CSV files,Databases, APIs, scraping websites and Google BigQuery.• Clean and preprocess data to ensure quality and reliability, handling missing values, outliers, andinconsistencies.• Create visualizations for effective communication to technical and non-technical stakeholders, utilizingtools like PowerBI, Tableau, and Python.• Implemented a 30% faster automated data processing pipeline and developed a real-time monitoring toolfor machine status updates and maintenance scheduling.• Identified unreported non-operational machines through transaction anomaly analysis, optimizing repairschedules. Achieved 20% reduction in helpline inquiries and enhanced user experience amid partialfailures.

Ciudad De México, México

• Extract tax data using vertex/SAP, process the data and deliver reports as needed to other areas. • Develop algorithms and solutions using Alteryx. So the process is easy to understand.

Ciudad De México, México

•Designed and implemented algorithms for data cleaning, standardization, collection, and integration fromdiverse sources.• Formulated and executed data quality assessment plans to evaluate the accuracy, completeness, andconsistency of datasets.• Utilized data profiling techniques to detect anomalies, outliers, and discrepancies in extensive datasets.• Collaborated with cross-functional teams to establish data quality standards and guidelines.• Implemented automated data validation process to reduce manual efforts in up to 90%.• Implemented and executed regression testing procedures to verify the impact of system changes onexisting data processes.• Created training materials and conducted knowledge-sharing sessions to improve team members'understanding of data, analysis, strategy formulation, and evaluation processes. Showing an improvementin individual performance evaluations of 87%.• Presented findings and recommendations to project stakeholders, facilitating data-driven decisionmaking.• Deliver end-users with dashboards, analysis, and reports; engage in meetings with customers tounderstand existing issues, document business requirements, and outline technical specifications.• Led the creation of a ML model predicting ATM failures, optimizing costs through enhanced preventivemaintenance, and reducing corrective actions.

Análisis estadístico de datos, elaboración de presentaciones informativas para el desarrollo de estrategias para la mejora de servicios.