Brayan David Solórzano Quevedo Email and Phone Number

Data source:Identification and evaluation of critical data sources such as Netsuite,Jira, and Salesforce, along with the implementation of effective data extraction strategies from these platforms.Extraction data:Use of BigQuery on Google Cloud Platform for data extraction, guaranteeing a solid and secure process. Efficiently retrieving and processing large data sets. Using BigQuery also contributes to scalability and facilitates seamless integration with other components of the data analysis process.Integration and Analysis:Development and programming of the semantic model in Looker. In addition, the generation of the different visual elements in Looker Studio that highlights trends, monthly trend, and other analyses.Onboarding and support:Development of training materials for end users, and provision of ongoing support to ensure effective use of dashboards.

• Data Collection: I competently collected kinematic data from 70 people performing walking, running, cycling, and skating using advanced optoelectronic systems and inertial sensors. Ensure accurate motion capture.• Data Processing: Use signal processing techniques to meticulously clean and refine the data sets (pandas,Scikit-learn), removing noise and errors, resulting in reliable and high-quality data.• Database Creation: I achieved the creation of complete kinematic and kinetic databases on GitHub,facilitating access and collaboration for researchers and practitioners.• Machine Learning Algorithms: Developed both supervised and unsupervised ML algorithms for automatic segmentation of biomechanical cycles, enhancing efficiency and precision.• Biomechanical Pattern Analysis: Use data analysis to discover crucial biomechanical patterns, finding the unique variables that represent human gestures. Provide clinicians and athletes with primary information to optimize performance and reduce the risk of injury.• Impactful Contributions: Eliminate manual creation of kinematic data. Create artificial intelligence thatautomatically segments it. Contribute substantially to medical evaluations and performance enhancement of professional athletes by leveraging data science.

• Manage data and calendars to produce delivery invoices according to billing schedule.• Execute and resolved multiple ticketing systems that aided in customer experience and problem resolution.• Use of various software to track and analyze customer data.• Quick and efficient attention to the resolution of client platform problems.