Fernando Ariel Parisi

Fernando Ariel Parisi

About

Detail

Aeronautical Engineer | Data Analyst | Python | SQL | Power BI | Business Intelligence | Process Optimization
San Justo, Buenos Aires Province, Argentina

Contact Fernando regarding: 

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Full-time jobs
Starting at USD15/hour
Flexible work
Starting at USD15/hour

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Résumé


Jobs verified_user 0% verified
  • Aerolineas argentinas
    Engineering Analyst
    Aerolineas argentinas
    Dec 2023 - Current (1 year 7 months)
    • Lead data-driven initiatives to improve aircraft reliability and maintenance efficiency across multiple fleets. • Analyzed data on the condition of a fleet of over 80 aircraft, ensuring operational efficiency and safety. • Created and maintained technical documentation, improving process standardization and reducing rework. • Collaborated with cross-functional teams to enhance compliance with manufacturer guidelines and aviation regulations
  • Aerolineas argentinas
    Process Improvement Analyst
    Aerolineas argentinas
    Sep 2021 - Nov 2023 (2 years 3 months)
    • Drove operational excellence by leveraging data analytics and BI tools to optimize logistics and maintenance processes. • Developed over 10 dashboards in Power BI to monitor KPIs, improving operational visibility and decision-making. • Identified and resolved bottlenecks in supply chain workflows, achieving up to a 15% reduction in processing times. • Provided data-driven insights using Power BI, Excel, SQL, and SAP MM/PM, leading to the implementation of new maintenance policies.
  • Aerolineas argentinas
    Supply Chain Data Analyst
    Aerolineas argentinas
    Dec 2015 - Sep 2021 (5 years 10 months)
    • Handled demand planning for 10,000+ spare parts of ground handling components, ensuring operational continuity and cost control. • Reduced average procurement lead time by 15% through improved coordination with suppliers. • Analyzed supply chain performance using SAP MM, Excel, and Power BI, presenting actionable insights to leadership. • Contributed to a 10% reduction in inventory holding costs by optimizing stock levels based on usage trends.
Education verified_user 0% verified
  • U
    Diploma in Data Science
    Universidad Tecnológica Nacional
    May 2024 - Current (1 year 2 months)
  • Udemy
    Scrum Master y Product Owner
    Udemy
    Aug 2023
  • S
    Flex English B2 Upper Intermediate Level
    Stafford House International
    May 2023
  • Coderhouse
    Data Analytics
    Coderhouse
    Nov 2022
  • U
    Diploma in Comprehensive Quality Management
    Universidad Tecnológica Nacional
    Nov 2022
  • I
    ISO 9001:2015 Standards and Quality Management Systems
    Oct 2022
  • U
    Lean Six Sigma
    Universidad Tecnológica Nacional
    Oct 2022
  • U
    Quality Audit
    Universidad Tecnológica Nacional
    Aug 2022
  • U
    Quality Diagnosis and Process Control
    Universidad Tecnológica Nacional
    Jun 2022
  • B
    Business Intelligence
    Aug 2020
  • B
    Bachelor of Engineering - BE, Aeronautical Engineer
    Mar 2012 - Sep 2021 (9 years 7 months)
  • F
    Aeronautical Technician
    Fuerza Aérea Argentina INACCIATA
    Mar 2008 - Dec 2011 (3 years 10 months)
Projects verified_user 0% verified
  • UTN - Facultad Regional Córdoba
    Data Science Projects - Phyton
    UTN - Facultad Regional Córdoba
    Jun 2024 - Dec 2024 (7 months)
    #1. Exploratory Data Analysis (EDA): Conducted an exploratory data analysis on Airbnb accommodation prices across various neighborhoods in Buenos Aires. Focused on identifying patterns, trends, and outliers to provide insights into pricing dynamics. #2. Supervised Learning: Performed data analysis using supervised learning classification techniques, including Logistic Regression, K-Nearest Neighbors (KNN), Decision Trees, and Random Forest. Evaluated model performance through accuracy, precision, and recall metrics. #3. Unsupervised Learning: Applied Principal Component Analysis (PCA) for dimensionality reduction to enhance model performance. Compared the results of a Logistic Regression model (supervised learning) using both the full fea
  • UTN Resistencia
    Coderhouse
    Data Visualizations: Power BI Dashboards
    UTN Resistencia, Coderhouse
    Jul 2020 - Current (5 years)
    #1. COTO Branch Analysis: Individually initiated project. Developed a two-page dashboard to analyze the performance of branches from the COTO supermarket chain. Data was sourced from COTO branches in March 2025. The dashboard highlights key performance indicators (KPIs), regional trends, and comparisons across different branches. #2. SUBE User Transport Analysis: Collaborative project as part of the Data Analytics course at Coderhouse. A five-page dashboard was developed to analyze the number of passengers using the SUBE card daily, categorized by transportation type across different provinces in Argentina. Data was sourced from the official government transportation dataset, provided by the Argentine Ministry of Transport. The dataset inc