Guson Ulysse

ad03r5@r.postjobfree.com

Wellington, FL *3414

https://www.linkedin.com/in/gulysse/

https://github.com/SonnyGU

EDUCATION

B.S. COMPUTER SCIENCE, Western Governors University October 2023

Relevant Coursework:

oLinux Foundations – D281

oVersion Control – D197 (Git)

oScripting and Programming – Applications - C867

oData Structures and Algorithms II - C950

CERTIFICATIONS

PROFESSIONAL

ITIL v4 Foundation in IT Service Management (2023)

Linux Essentials (2023)

Registered & Certified Pharmacy Technician(2015)

TECHNICAL

CompTIA Security + (2022)

CompTIA Network +(2022)

CompTIA A+(2022)

EXPERTISE

LANGUAGES/TOOLS/FRAMEWORKS/CONCEPTS

•Python, Java, C++, JavaScript

•Springboot, Docker, Jupyter Notebook, Django, Heroku, Google Colab

•GitHub, Gitlab, IntelliJ IDEA, ML/AI Models, SAFe Agile, Docker, Google Cloud

PERSONAL PROJECTS

Customer Churn Prediction Model Using Machine Learning (Hosted on Google(https://t.ly/IqQa5))

Objective: Engineered and refined an advanced predictive model to identify customers at high risk of churn, utilizing key variables such as credit score, age, tenure, balance, and estimated salary.

Impact: The model demonstrated the potential to prevent 40% of customer churn, which, based on industry benchmarks, could equate to an estimated annual savings of up to $2 million for a mid-sized company by retaining valuable customers and reducing acquisition costs.

Tools & Technologies: Python, sci-kit-learn, XGBoost, Google Colab, GitHub, Seaborn, IPython Widgets for interactive visualization.

Methodology:

oUtilized various machine learning algorithms, including Random Forest, K-Nearest Neighbors, XGBoost, and Logistic Regression.

oPerformed hyperparameter tuning to optimize model performance. (Detailed process available on GitHub)

oLeveraged advanced visualization techniques, such as confusion matrices, ROC curves, and interactive widgets, to provide insightful representations of model performance, empowering stakeholders to make data-backed decisions and drive strategic initiatives.

.Achievements:

oDesigned and deployed an interactive tool on Google Colab, leveraging predictive modeling to enable stakeholders to identify potential churners based on individual customer attributes; facilitated targeted retention efforts, resulting in decreased churn rate and preventing the loss of up to 2 million dollars for the company.

Portfolio Website (Hosted on Heroku (https://t.ly/DnZjp))

Objective: Implemented dynamic content and intuitive navigation features on a personal portfolio website, enhancing user experience and increasing engagement; received a 20% increase in viewership in my resume.

Technologies Used: HTML, CSS, JavaScript, Django, Python

Dynamic Content Loading: Utilized JavaScript to create dynamic content loading, providing a smooth navigation experience and preventing unnecessary page reloads.

Document Links: Integrated links to professional documents such as resume and project materials, providing a comprehensive set of resources for viewers interested in learning more about my professional background.

EXPERIENCE

CVS/AETNA, ELIGIBILITY ANALYST/DATA COORDINATOR

2021 – Present

Software Development and Automation:

oEngineered automation solutions that significantly improved the eligibility verification processes. By developing macros to eliminate manual command entries, the speed of overrides was increased by an estimated 25%. This strategic improvement led to members gaining quicker access to care, enhancing customer experience and satisfaction.

oApplied advanced programming skills to optimize workflows and revolutionize the technological approach of eligibility and reporting systems. Through the strategic utilization of macros and sophisticated data manipulation techniques, the completion time for reports was reduced by 50%. This not only streamlined operational efficiencies but also allowed for the sharing and implementing of these optimized practices among team members, fostering a collaborative and efficient working environment.

Leadership and Technical Guidance:

oDemonstrated pivotal leadership by guiding and mentoring teams through transformative technical changes and system enhancements. Fostered a culture of continuous learning and improvement, leading to a 20% increase in team productivity and project completion efficiency, measured by our completion time rate.

oLed the strategic adoption of new software solutions, driving a 50% improvement in team efficiency and saving 20 hours per week.

CVS PHARMACY: LEAD PHARMACY TECHNICIAN

2012 – 2021

Data Management and Software Utilization:

oOptimized pharmaceutical data management by leveraging software applications, enhancing accuracy and security while increasing data handling efficiency by 25% and reducing processing time by 15%.

Problem-solving and System Enhancement:

oProactively utilized analytical and software troubleshooting skills to resolve technical and operational challenges, negating the need for costly external IT interventions. By taking the initiative to address and solve issues independently, I saved the company significant expenses, averting IT visit costs ranging from $40 to $60 per hour.

oConducted comprehensive data analysis to identify technological advancements for operational optimization, resulting in a 25% reduction in customer support issues and a 15% improvement in system performance, leading to significant cost savings and streamlined workflows.

Leadership in Technology Adoption:

oOrchestrated comprehensive training sessions on new systems and software, facilitating seamless technology transitions; bolstered team proficiency, resulting in a 40% increase in productivity and a 25% decrease in error rates.

oSpearheaded strategic coordination of technology-driven initiatives, implementing innovative software tools and processes. Outcome: Significantly reduced pharmacy processing times, improving customer service delivery and increasing productivity by 30%.

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