Verified recordTelecommunications

Derek Rogers

Ml Ai Modeling Engineer at Comcast Business

Based in Flower Mound, United States

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Seniority

Other

Department

Other

Location

Flower Mound

Industry

Telecommunications

Company size

9.1K

Contact information

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Email

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d•••••••@••••••.com

Phone

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Background

About Derek Rogers

WHAT I DO I am a collaborative, self-motivated, and analytical software developer with 5+ years of hands-on experience in data analysis, artificial intelligence (AI), software engineering, and algorithms design to develop business intelligence and automated solutions that provide predictive analytics. I recently finished my Master in Data Science, where I completed my Capstone Project with Microsoft and graduated Summa Cum Laude ‍ WHY I DO IT I continuously seek to learn new ideas and technologies to share this experience with others to help create valuable software solutions. WHAT SETS ME APART FROM OTHERS Critical Analysis: I leverage analytical problem-solving skills to clarify complex issues and accurately uncover root causes. Collaboration: I create strong, cohesive teams by relating, listening, and communicating effectively to gain trust quickly. Innovation: I turn disparate ideas and viewpoints into novel solutions through creativity, adaptability, and perspective. Learning Agility: I invest heavily in learning new technologies and continuing education to keep up with industry trends. WHAT OTHER SAY ABOUT ME Thoughtful Detail-oriented Focused Insightful Listener Can connect with anyone Positive Great communicator and collaborator MY CORE COMPETENCIES Natural Language Processing (NLP), Anaconda, Prompt Engineering, Exploratory Data Analysis, Data Structures and Algorithms, Operating Systems, Logic Design, Cryptography Statistical Analysis - Scope of Inference, Hypothesis Testing, ANOVA, Experiment Design Visualization - Seaborn, Matplotlib, Plotly, Ggplot2, D3, Neo4j Bloom Machine Learning - Tensorflow, Keras, Scikit-learn, Scipy, Pytorch, Numpy Data Modeling - Regression, Time Series, Bayesian Networks, Markov Models, Neural Networks Large Language Models - Prompt Engineering, Transfer Learning, Testing, RAG, AutoGen Programming Languages - Python, R, SAS, C, C++, C#, JavaScript, TypeScript, HTML, CSS Software Engineering Methodologies - Agile, Scrum, Kanban Databases and Data Formats - SQL, MySQL, MongoDB, Neo4j, XML, JSON, CSV Source Control - Git, Github

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