SEBASTIAN SASTRE
DATA ANALYST
Python, Pandas, Tableau, Power BI, mySQL, PostgreSQL, SQL, Statistical analysis, Google Cloud, Big Query
ABOUT
I have recently completed a comprehensive Data Analyst Bootcamp focused on statistical analysis and storytelling, which has provided me with solid technical skills in data processing, analysis, and visualization. In addition, my background in Audiovisual Communication has given me a deep understanding of how to effectively present data in a visually compelling way, ensuring that insights are not only accurate but also easily interpretable.For over 14 years, I have worked in corporate environments, where I was responsible for analyzing financial accounts and contributions, providing me with a strong foundation in data analysis, problem-solving, and business processes. This experience, combined with my passion for data, has sparked my desire to further develop my career in data analytics, where I can apply my skills and expand my knowledge in this dynamic field.With my attention to detail, creative approach to problem-solving, and extensive experience in corporate settings, I am confident in my ability to make a meaningful impact in any data-driven role. I am eager to leverage my skills and experience to contribute to a dynamic team and continue growing in this field.
SEBASTIÁN SASTREMadrid
Nationality: italian/argentine
NIE: Y7557252H
Marital Status: Single
Driver´s licence: BPROFESSIONAL SUMMARYI have experience in prestigious companies, specializing in legal data analysis, storytelling, technical support, customer service, and administration. I am fluent in Spanish and English, which facilitates international collaboration and effective engagement with diverse clients and projects. My strengths include attention to detail, creative problem-solving, and multitasking abilities.STUDIESData Analysis 03/2024 - 09/2024
Nuclio Digital School, Madrid, España.
Python, Pandas, Tableau, Power BI, mySQL, PostgreSQL, SQL, Statistical Analysis, Google Cloud, Big QueryBootcamp SQL 01/2024
Coursera - OnlineBootcamp Python 01/2024
Udemy - OnlinePower BI desktop 02/2024
Coursera - OnlineData visualization with Tableau 02/2024
Coursera - OnlineExcel skills for business 02/ 2024
Coursera - OnlineAudiovisual communication 03/2002 -12/2004
CIC, Buenos Aires, Argentina.WORK EXPERIENCEFreelance/self-employed 09/2019 - Present
Estudio El Salado, Madrid, España.
Managing a portfolio of clients
Service delivery
Personalized consulting and budgeting
Client acquisition and retentionAdministrative Assistant and Account Analyst 12/2005 - 08/2019 Lawyers’ Pension Fund of Buenos Aires Province, Buenos Aires, Argentina
Account analysis of contributions for granting pension plans to lawyers in Buenos Aires Province.Technical Support and Customer Service 12/2003 - 12/2005 Motorola & AOL USA, Buenos Aires, Argentina.
Call center customer service and technical support for U.S.-based clientsSKILLSSQL
mySQL
PostgreSQL
Python
Pandas
Tableau
Power BI
Looker
Statistics
Google Cloud
Big Query
MongoDB
Team work
Problem solving
Multi-taskingLANGUAGESEspañol: Native
English: C2
Work
Below, I will showcase the projects I have worked on, highlighting my experience and skills in data analysis, visualization, and problem-solving. These projects reflect my approach to turning data into actionable insights and my ability to adapt to diverse challenges.
OLIST E-COMMERCE ANALYSIS
Data exploration, cleaning, and integration to uncover insights into product sales trends, customer behavior, and sentiment analysis of reviews. Key findings were visualized in an interactive dashboard, highlighting KPIs and actionable business recommendations.
AIRBNB PRICE OPTIMIZATION ANALYSIS (Madrid)
Market price analysis to assess whether the rents listed by the client align with current market rates and identifying the variables that may influence higher rental prices within the specified ranges.
WEB SCRAPPING & DATA TRANSFORMATION
The project's goal was to scrape data from a public website hosting information about a weightlifting championship, clean and transform the data into a structured format, and prepare it for subsequent analytical use. The insights aimed to provide a detailed overview of the competition, athlete performance, and event statistics.
HOUSING PRICE/MACHINE LEARNING
The project aimed to develop a machine learning model to predict the sale price of houses based on various features such as location, size, number of rooms, and other property characteristics. This was conducted as part of a Kaggle competition to enhance predictive accuracy using a structured dataset.
BALAJI FAST FOOD BI
The project focused on implementing a Business Intelligence (BI) solution to improve the performance and decision-making process of a small business. The goal was to optimize key areas such as sales, inventory management, and customer segmentation using data-driven insights.
