Noah Cox

Ai Resident @Apziva

Simsbury, CT, US
MOBILE NUMBERS
+18•••••••46

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WORK HISTORY

Sep 2022 — Present

Ai Resident @Apziva

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6 month residency working on various machine learning models for business applications in collaboration with industry partners.Gaining practical experience working under the supervision of a mentor working in the industry.

EDUCATION

N/A

University of Connecticut

Bachelor of Science - BS, Mathematics

N/A

University of Connecticut

Associate's degree

SKILLS

WritingStrategic PlanningMicrosoft WordHigher EducationAutodidactismMicrosoft OfficeMicrosoft ExcelPublic SpeakingFacebookInterpersonal Communication

ABOUT NOAH COX

Developer of SAMwise for Arlington Consulting Group - automates federal market analysis through timely identification and capture of current opportunities- enables govcons to forecast opportunities of the future, providing early insights that allow for shaping opportunities in the pre-RFP/RFI stageGraduate of UConn with B.S. in Mathematics December 2021. Recently finished an AI residency through Apziva designing and implementing machine learning models on a variety of projects coming from organizations from all around the world ranging from various fields of AI such as natural language processing, computer vision, deep learning, signal processing/time-series data analysis, reinforcement learning, deep fake audio synthesis and detection and others. Certifications as of 2/13/23: Apziva - Completion of the residency program with certificate and letter of recommendation.Coursera-Machine Learning Specialization - DL Stanford.in progress: Deep Learning SpecializationUdemy-R programming A to Z; R adv. analytics; ML A-Z in Python & RI have completed other online trainings for advanced Tableau, DSP applications in C++ with GUIs, GitHub, and DSP in R, Python, and C++, among various other research into signals intelligence, machine learning, and applications of wavelet transforms. Interests: Machine Learning, Signal Processing, Signals Intelligence (SIGINT), Financial Signals, Data Analysis and Analytics, Applied linear algebra, AI, etc.Fully remote or hybrid preferred.

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