Juan Mario Ochoa Navarro

Angestellt, Data Analyst, ASYSE

Guadalajara, Mexiko

Über mich

Driven and experienced professional with a strong background in data analysis, data management, and problem-solving. Skilled in leveraging advanced tools and techniques to extract insights from complex data sets. Proficient in SQL, Python, and data visualization tools. Proven track record in delivering data-driven solutions to enhance business performance and inform strategic decision-making. Detail-oriented and analytical mindset, with a passion for accuracy and data integrity. Strong communication and collaboration skills, enabling effective cross-functional teamwork. Committed to staying updated on the latest trends and technologies in the field of data analysis. Seeking opportunities to apply my expertise and contribute to a forward-thinking organization's success. Open to challenges that foster growth and enable me to make a meaningful impact.

Fähigkeiten und Kenntnisse

Microsoft Excel
Microsoft Power BI
ETL
Python
Business Intelligence
Machine Learning
R programming language
SQL
Data Science
Data Analysis
MongoDB
Engineering
Technology
Systems
Application
Analytics
Big Data
German
Database
Quality Control
Data Warehouse
Artificial intelligence
SQL Server
Computer Science
English Language
Mathematics
Natural Language Processing
Forecast
Cloud Computing
ML
Statistics

Werdegang

Berufserfahrung von Juan Mario Ochoa Navarro

  • Bis heute 1 Jahr und 4 Monate, seit Feb. 2023

    Data Analyst

    ASYSE

    Generation of files for cost and follow up control. Creation of queries to automate information processes. Support with quality control systems in production lines. Decrease human error that can cost up to 100% over cost in accounting books. Reduction in file creation time (One every year instead of 25 approximately). 200,000 USD of projected savings in studies for production lines.

  • 2 Jahre und 1 Monat, Feb. 2021 - Feb. 2023

    Analytics Assistant

    Grupo Michel

    Create sales forecasts for each product with models based in stacional time series. Help with systems that prioritize order in requisitions, commodities and inventory control. Order and actualize databases. Achievements: Forecasts with mean percentage average error of approximately 8% on the 20% most sold items. Over 8 hours saved in requisition revision time each week.

Sprachen

  • Englisch

    Fließend

  • Spanisch

    Muttersprache

  • Deutsch

    Grundlagen

Interessen

Sports
Yoga
Reading
Music
Psychology
Football
phylosophy
Art

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