Data Science North Carolina

Julian Martin

704-***-**** • ******.**********@*****.*** • linkedin.com/in/julianed.martin

CAREER OBJECTIVE

Currently pursuing a Master’s Degree in Data Science and Business Analytics at the University of North Carolina at Charlotte. Detailed oriented professional ready to apply my recently completed Bachelor of Science degree in Management Information Systems, with an organization that will utilize my communications, problem solving and analytical talents, while providing opportunities for ongoing professional development.

EDUCATION

University of North Carolina at Charlotte

M.S. Data Science and Business Analytics, 2024-Present University of North Carolina at Wilmington, Cameron School of Business B.S. Business Administration, May 2023

Concentration: Management Information Systems

Dean’s List

CERTIFICATIONS

• Foundations: Data, Data, Everywhere (Coursera; October 2023) o https://www.coursera.org/account/accomplishments/certificate/5TLZBZP2FXKH

• Ask Questions to Make Data-Driven Decisions (Coursera; November 2023) o https://www.coursera.org/account/accomplishments/certificate/AUVNNS344ZNS

• Prepare Data For Exploration (Coursera; December 2023) o https://www.coursera.org/account/accomplishments/certificate/5FY9LM2FKSWV

• Process Data from Dirty to Clean (Coursera; February 2024) o https://www.coursera.org/account/accomplishments/certificate/F7G52YR4TJ7G

• Data Warehousing Workshop (Snowflake; May 2025)

o https://achieve.snowflake.com/083e6ef3-4fa1-4f8b-98a9-d90a2a83c255#acc.5PLoVaHi SKILLS

SQL

Python

Machine Learning

Database Design

Information Security

Cisco Networking

Artificial Intelligence

Office 365

AWS

Snowflake

Website Design

Database

Management

Data Analysis

Leadership

Strategic Thinking

Business Analytics

Time Management

Hands on Learner

WORK EXPERIENCE

Family Caregiver – Dementia Support May 2023 – Present Charlotte, NC

Provided safe and reliable transportation to and from patients’ adult center daily and occasional medical appointments.

Administered prescribed medications on schedule, tracking dosages and monitoring for side effects or changes in condition.

Assisted with daily feeding routines, ensuring proper nutrition, hydration, and monitoring for changes in appetite or swallowing ability.

Supported grooming and personal hygiene needs, including bathing, dressing, oral care, and hair grooming, with sensitivity and dignity.

Maintained a consistent daily schedule to promote stability, reduce confusion, and support the patient’s cognitive and emotional well-being.

Customer Service / Ride Attendant - Carowinds June – August 2019 Charlotte, NC

Responsible for customer experience – ensured assigned rides operated flawlessly and customer experience exceeded expectations.

Managed customer complaints – listened to customer and provided swift resolution creating customer loyalty.

Facilitated implementation of safety measures – ensured assigned rides met safety standards. RECENT PROJECTS:

Breast Cancer Classification and Segmentation LLM: Designed and executed a deep learning project to classify and segment mammogram images using a pretrained YOLOv8 instance segmentation model in Google Colab. Worked with a publicly available breast cancer dataset stored in Google Drive, prepared and annotated segmentation masks using makesense.ai, and reformatted data to align with Ultralytics YOLOv8 requirements. Managed all aspects of data preprocessing, augmentation, and training pipeline using Python, leveraging the Ultralytics library to fine-tune the pretrained model. As a result, the model achieved accurate segmentation and classification of mammogram images with 86.2% mean Average Precision (mAP), demonstrating the model’s potential in aiding early breast cancer detection. This project highlights practical experience in medical image analysis, transfer learning, and applied deep learning workflows in a healthcare context.

https://github.com/Julian-Martin0723/DSBA-6165-Deep-Learning-Project INTERESTS AND PASSIONS

Basketball Coding

Traveling Cooking

Movies & TV Shows Video Games

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