ALEJANDRA LIZETH SALAS TALAVERA

•Analyzed large volumes of data stored in Google BigQuery using Exploratory Data Analysis (EDA) techniques to identify patterns and generate insights for decision-making.
•Developed predictive models in Python (Linear Regression and Decision Trees) to estimate dispatch times and optimize operational planning.
•Designed and implemented automated pipelines using Google Cloud Platform (BigQuery, Clou

•Extracted and consolidated data from SAP and other internal sources for pricing analysis.
•Analyzed market trends, elasticities, and macroeconomic indicators to support price list updates across Latin American countries.
•Designed interactive dashboards to monitor pricing and commercial performance indicators.
•Developed pricing strategies based on historical analysis and market behavior.

•Analyzed large volumes of data to build risk profiles, evaluating multiple variables and generating insights to support investment decisions using Excel and Visual Basic.
•Developed a weighted risk assessment model (Python) to classify incidents and support the analysis of new investments.
•Implemented automation processes to monitor news and events with potential impact on risk profiles, improvi

•Effective coordination of student groups to ensure their adaptation to the program.
•Assistance and guidance in solving exercises in Python, SQL, Power BI, Machine Learning, and statistics.
•Orientation of students in the early stages of the course and addressing their concerns.
•Active contribution to the Bootcamp by proposing innovative ideas to improve processes.
•Promotion of strong group col

• Design solutions based on the data presented and/or the user/client's intentions.
• Develop data engineering, data warehouse, and machine learning to provide recommendations and sentiment analysis.

PROJECTS:
-Yelp and Google Maps Reviews Analysis
Objective: Analyze the Steakhouse market in the U.S., structuring a database for corporate decision-making regarding the opening of a new restaurant a

•Assisted in the planning and execution of internal audits using Agile methodologies.
•Prepared periodic reports for senior management based on structured databases and analytical findings.
•Implemented Excel-based tools and VBA macros to improve due diligence efficiency and streamline compliance processes
•Monitored regulatory updates through automated notifications to support ongoing compliance

•Analyzed financial and commercial data using Business Intelligence tools to identify opportunities for financial product placement.
•Prepared commercial performance reports and monitored key performance indicators (KPIs) to support team decision-making.

•Implemented data analysis solutions using Excel and Power BI to support sales performance analysis.
•Automated the order management process, improving operational efficiency and reducing delivery times.
•Increased sales by 30% between 2017 and 2018 through data-driven operational and distribution strategies.