Sebastian Palacios

ad4qgb@r.postjobfree.com, Charlotte, NC

Education:

University of North Carolina at Charlotte Graduated: 2021 Bachelor of Science in Computer Science, Concentration: Data Science

Objective: Eager to keep enhancing my technical skills and contribute to innovative projects in the technology field. Quick learner, self-driven, and motivated to collaborate with diverse teams.

Work Experience:

Ally Financial

Software Engineer January 2022 - December 2023

● Proactively monitored and optimized system performance using high-level tools such as AppDynamics, Splunk, NIFI, and Nucleus Snowflake.

● Executed SQL queries for team-requested data tasks, managed password resets, renewals, and patching, and addressed Snowflake incidents.

● Streamlined application deployments using GitLab, with thorough documentation of the process.

● Combined AWS, GitLab, and Apigee to create a robust platform for deploying, managing, and scaling applications with APIs.

● Implemented Splunk alerts and dashboards, ensuring early detection and resolution of application performance issues.

Ally Financial

Summer Technology Internship 2021 June 2021 - August 2021

● Leveraged Robot Framework and Python to efficiently orchestrate incident triage, demonstrating a swift and effective response to high-priority issues.

● Initiated high-priority incidents in ServiceNow using a Robot Framework and Python script for streamlined monitoring.

● Successfully automated tasks, reducing costs, minimizing errors, and enhancing overall productivity.

Technical Project Netflix Movies Data Analysis

● Utilized Python programming for data analysis & visualization.

● Learned data cleaning and preprocessing raw data using Python libraries like Pandas.

● Used Matplotlib and Seaborn to create insightful data visualizations of the dataset.

● Gained the ability to interpret analysis results effectively, deriving meaningful conclusions to guide decision-making processes.

Ally Financial AWS Deepracer Driven by Reinforcement Learning

● Learned the fundamentals of Reinforcement Learning.

● Create a model and set up a simulation environment

● Selected training algorithm, configured parameters, and defined reward functions.

● Utilized Sagemaker for more advanced training and experimentation

● Exported the model for virtual racetrack competition among employees to determine the fastest times.

Technical Skills:

● Programming Languages: Python and SQL

● Tools & Methodologies: Agile Methodologies, GitLab, Git Bash, Robot Framework

● Technologies: Splunk, NIFI, Snowflake, AWS, Apigee

Languages:

Bilingual (English and Spanish)