Responsibilities & achievements

Tableau Dashboard Development. • Developing interactive dashboards in Snowfake to visualize key performance indicators (KPIs) for a bank, such as transaction volumes, account balances, loan portfolios, and customer demographics. • Reading and querying Snowfake Data Lake to retrieve relevant data. • Creating and optimizing views in Snowfake to streamline data access and improve query performance. • Implementing security measures for access and content in Snowfake to ensure data integrity and confdentiality. • Project: Developing an AI-powered Fraud Detection System. • Researching and implementing state-of-the-art machine learning models using Python and TensorFlow/PyTorch to detect fraudulent activities in banking transactions. TensorFlow/PyTorch, and deploying the model to generate realistic and novel outputs. • Project: USAA Bank Responsibilities: • Develop and maintain data pipelines and ETL processes using Python and Snowflake to ensure data quality, integrity, and availability. • Collaborate with data scientists and analysts to understand data requirements and implement solutions to support their analytical needs. • Design and implement data models and schemas in Snowflake to support business requirements and opti-mize query performance. • Monitor and optimize the performance of data pipelines and ETL processes to ensure timely and efficient data delivery. • Work with cross-functional teams to troubleshoot and resolve data-related issues in a timely manner. • Stay up-to-date with emerging technologies and best practices in data engineering to continuously improve data processes and infrastructure.

Responsibilities & achievements

Project description: • ETL, dashboards and machine learning classification algorithms to classify data from users. • Complete tasks tracked by JIRA. • Web app using streamlit to analyze geographical data of Mexico City. • Strong mathematical skills, including proficiency in calculus, probability theory, and statistical analysis. • Solid knowledge of actuarial principles and techniques, including pricing, underwriting, and reserving. • Experience in developing and implementing pricing and underwriting models for personal and commercial lines of business. • Experience in analyzing data and making recommendations on product design and pricing. • Proficiency in programming languages commonly used in actuarial work, such as SAS, R, or Python. • Excellent analytical and problem-solving skills. • Strong attention to detail and accuracy. • Ability to manage multiple projects simultaneously and meet deadlines. • Excellent communication and interpersonal skills. • Experience in managing a team of data analysts. • Ability to work collaboratively with a technology lead to implement ML models. Project description: ▪ Collaborated in the maintenance of dashboards that allows rest of company employees orchestration and retrieve reports. ▪ Developed and implemented ETL processes using SQL Server Integration Services (SSIS) to integrate data from multiple sources into a centralized data warehouse, ensuring data quality and consistency, and optimizing query performance by configuring and managing indexes and partitioning in on-premises MSSQL databases. ▪ Develop and implement robust ETL pipelines using AWS services, particularly AWS Glue, to ingest, process, and consume data. Ensure data integration and validation processes are thoroughly executed to maintain data quality and reliability across the data infrastructure. ▪ Migration of all the dashboards from Power BI to Tableau ▪ Complete tasks tracked by JIRA. ▪ Have a clean repository by creating branch-per-feature and reviewing team code. ▪ Attending data issues reports from the dashboard’s users. ▪ Data Ingestion and Processing. ▪ Create Python scripts to automate data ingestion from different sources, such as Oracle Database, PostgreSQL and NoSQL. ▪ Implement large-scale data processing using Apache Spark in OCI.

Responsibilities & achievements

▪ Reporting and analyzing data from sales. ▪ Developing Dashboards with Power BI ▪ Complete tasks tracked by Trello. ▪ Have a clean repository by creating branch-per-feature and reviewing team code. ▪ Analyze the use cases to ensure high quality and best approach for the solution. ▪ Code in multiple projects in a mono-repository. ▪ Test-driven Development.

Responsibilities & achievements

▪ Reporting and analyzing data from inventory. ▪ Complete tasks tracked by Trello. ▪ Financial Analysis of company’s income. ▪ Developing Dashboards with Power BI. ▪ Forecasting income and revenue. ▪ Creating dashboards in Tableau to report the financial status of the company.