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Sam Mize Email & Phone Number

Location: Raleigh-Durham-Chapel Hill Area, United States 5 work roles 3 schools
1 work email found @4thvectortech.com 2 phones found area 425 LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 2 phones

Work email s****@4thvectortech.com
Direct phone (425) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Role
-----------------------
Location
Raleigh-Durham-Chapel Hill Area, United States
Company size

Who is Sam Mize? Overview

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Quick answer

Sam Mize is listed as ----------------------- at 4th Vector Technologies – Machine Vision & Deep Learning Integrators, a with 3 employees, based in Raleigh-Durham-Chapel Hill Area, United States. AeroLeads shows a work email signal at 4thvectortech.com, phone signal with area code 425, and a matched LinkedIn profile for Sam Mize.

Sam Mize previously worked as Vision Systems Engineer at 4Th Vector Technologies – Machine Vision & Deep Learning Integrators and Data Science Student at Metis. Sam Mize holds Data Science from Metis.

Company email context

Email format at 4th Vector Technologies – Machine Vision & Deep Learning Integrators

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{first}.{last}@4thvectortech.com
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AeroLeads found 1 current-domain work email signal for Sam Mize. Compare company email patterns before reaching out.

Profile bio

About Sam Mize

Sam Mize is a ----------------------- at 4th Vector Technologies – Machine Vision & Deep Learning Integrators. He possess expertise in engineering, microsoft office, autocad, cad, matlab and 6 more skills.

Listed skills include Engineering, Microsoft Office, Autocad, Cad, and 7 others.

Current workplace

Sam Mize's current company

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4th Vector Technologies – Machine Vision & Deep Learning Integrators
4Th Vector Technologies – Machine Vision & Deep Learning Integrators
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apex, north carolina, united states
Employees
3
AeroLeads page
5 roles

Sam Mize work experience

A career timeline built from the work history available for this profile.

Data Science Student

Greater Seattle Area

Developed these projects as part of a intensive data science program:Japanese Noodle Shop Recommender: Chubu Edition - Built a noodle shop recommendation Flask app with a high degree of transparency and user control, based on applying NLP techniques (count vectorization with a custom-modified dictionary and LDA topic modeling) performed on 100s of thousands of Japanese-language reviewer comments scraped from Tabelog. The topics were given English labels, so that a search vector can be constructed without knowledge of Japanese. Recommendations are based on geographic location, numerical review score on Tabelog, and the user's choice of either similarity to or difference from the search terms.Kawasaki vs Harley Davidson: Distinguishing Motorcycle Noise by Make - Trained several ensemble models to distinguish the two makes, based on audio scraped from YouTube videos. The audio was split into one-second clips, converted to the log frequency domain, and normalized to the fundamental engine frequency, as determined by my algorithm, prior to training the model on it. Accuracy was 92%, or 95% on any 5 consecutive clips. Predicting Box Office Gross by Degree of Experience - Trained multivariate regression model to predict Box office gross of movies using the experience level of cast and crew members using web-scraped data from Box Office Mojo and econometric data from the U.S. Bureau of Labor Statistics.Exploratory Data Analysis of MTA Turnstile Data - Cleaned NYC subway traffic data and combined it with Citibike traffic data to find the ideal expansion locations for Citibike to take advantage of commuters' changing habits post-COVID-19.

Jun 2020 - Sep 2020

Mechanical Engineer

Mukilteo, Wa

Designing, assembling, testing/troubleshooting, installing, and supporting aerospace assembly machinery for major manufacturers in the US and internationally

Jan 2014 - May 2020

Technical Drawing Intern

Morrisville, Nc

Standardized AutoCAD drawing practices for rooftop solar array structural drawings.Built Excel/VBA-based calculators to integrate data from new shade mapping tools into estimating seasonal power generation of residential solar PV installations.

Apr 2013 - Dec 2013

Prep/Dishwasher

The Root

Elon, Nc

Jul 2011 - Aug 2012
3 education records

Sam Mize education

Data Science

Metis's 12-week accredited data science bootcamp is an immersive program designed to give students the necessary skills to launch a career.

Education record

North Carolina School Of Science And Mathematics
FAQ

Frequently asked questions about Sam Mize

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What company does Sam Mize work for?

Sam Mize works for 4th Vector Technologies – Machine Vision & Deep Learning Integrators.

What is Sam Mize's role at 4th Vector Technologies – Machine Vision & Deep Learning Integrators?

Sam Mize is listed as ----------------------- at 4th Vector Technologies – Machine Vision & Deep Learning Integrators.

What is Sam Mize's email address?

AeroLeads has found 1 work email signal at @4thvectortech.com for Sam Mize at 4th Vector Technologies – Machine Vision & Deep Learning Integrators.

What is Sam Mize's phone number?

AeroLeads has found 2 phone signal(s) with area code 425 for Sam Mize at 4th Vector Technologies – Machine Vision & Deep Learning Integrators.

Where is Sam Mize based?

Sam Mize is based in Raleigh-Durham-Chapel Hill Area, United States while working with 4th Vector Technologies – Machine Vision & Deep Learning Integrators.

What companies has Sam Mize worked for?

Sam Mize has worked for 4Th Vector Technologies – Machine Vision & Deep Learning Integrators, Metis, Electroimpact, Southern Energy Management, and The Root.

How can I contact Sam Mize?

You can use AeroLeads to view verified contact signals for Sam Mize at 4th Vector Technologies – Machine Vision & Deep Learning Integrators, including work email, phone, and LinkedIn data when available.

What schools did Sam Mize attend?

Sam Mize holds Data Science from Metis.

What skills is Sam Mize known for?

Sam Mize is listed with skills including Engineering, Microsoft Office, Autocad, Cad, Matlab, Simulink, Laboratory Equipment, and Photoshop.

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