Dedicated Data Scientist with a focus on AWS solutions, collaborating with Welbe Company locate in Mexico.Responsibilities:• AWS Data Solutions: Designed and implemented comprehensive data solutions using AWS services such as S3 for scalable storage, Glue for ETL processes, Athena for query execution with SQL.• SQL Server: Creation of queries, procedures, views, functions with SQL Server.• Data modeling: Conducted in-depth data cleaning, data wrangling, and data aggregation to… Show more Dedicated Data Scientist with a focus on AWS solutions, collaborating with Welbe Company locate in Mexico.Responsibilities:• AWS Data Solutions: Designed and implemented comprehensive data solutions using AWS services such as S3 for scalable storage, Glue for ETL processes, Athena for query execution with SQL.• SQL Server: Creation of queries, procedures, views, functions with SQL Server.• Data modeling: Conducted in-depth data cleaning, data wrangling, and data aggregation to prepare datasets for analysis with SQL and Python.Data Analysis: Conducted detailed data analysis to extract actionable insights and designed data architecture solutions that meet complex business requirements.• Data Visualization: Utilized AWS QuickSight to create interactive and insightful dashboards and automation of reports, enhancing business intelligence capabilities.• Indicators: Worked with indicators such as ROI, CSAT, Users ratio, Appointment SLA.• Data presentation: Work with global teams, presenting in English or Spanish to audiences in other countries;Support for teams: Provided technical support and guidance to team members.• Analytical thinking: Use analytical thinking to identify problems and create innovative solutions that generate impact for the company.• Developed predictive models using Python libraries like Scikit-learn and Statsmodels, improving forecast accuracy. Show less

• Lead strategic planning of experimental design and optimize data collection processes to improve data accuracy, reliability, and quality.• Extract and process large datasets using SQL (e.g., MySQL), while leveraging Python for advanced data transformations, automation, and ETL workflows.• Perform in-depth data analysis, statistical modeling, and visualization using Python libraries such as pandas, numpy, and matplotlib.• Develop and engineer features for predictive models using… Show more • Lead strategic planning of experimental design and optimize data collection processes to improve data accuracy, reliability, and quality.• Extract and process large datasets using SQL (e.g., MySQL), while leveraging Python for advanced data transformations, automation, and ETL workflows.• Perform in-depth data analysis, statistical modeling, and visualization using Python libraries such as pandas, numpy, and matplotlib.• Develop and engineer features for predictive models using supervised learning, driving improvements in customer retention and business performance.• Design and deliver data-driven insights through reports and dashboards using Looker Studio and Power BI, effectively communicating results to both technical and business teams. Show less

• Design and implement data collection strategies to ensure high-quality data.• Process and analyze data to address scientific questions and research objectives.• Perform statistical analyses to derive meaningful insights from complex datasets.• Provide training and support to data collectors, ensuring data accuracy and reliability.• Utilize Python for data manipulation, automation, and advanced statistical analysis.• Use SQL for data extraction, transformation, and… Show more • Design and implement data collection strategies to ensure high-quality data.• Process and analyze data to address scientific questions and research objectives.• Perform statistical analyses to derive meaningful insights from complex datasets.• Provide training and support to data collectors, ensuring data accuracy and reliability.• Utilize Python for data manipulation, automation, and advanced statistical analysis.• Use SQL for data extraction, transformation, and efficient querying from databases.• Collaborate with teams to turn data into actionable insights and solutions. Show less

• Develop and manage ETL pipelines for efficient data extraction, transformation, and loading.• Perform data processing and ensure data quality for analysis and reporting.• Provide training and guidance to team members on data processing best practices.• Conduct statistical analyses to generate insights from large datasets.• Leverage Python and SQL for automation, data manipulation, and querying.

Development of digital image processing algorithms in Matlab, with function of analysis of nerves and other materials in equipment of physical tension. And computational prototyping of nerve / electrode systems applying finite element techniques with Comsol Multiphysics software.