About Me

Merging Electrical Engineering's precision with Data Science's vast potential, my path showcases a dedication to innovation and knowledge.
With a foundation from Clemson University and practical experience at Wolfspeed and Caterpillar, I've leveraged data to streamline processes and open new vistas.
My expertise extends from mastering complex systems to pioneering with data, aiming to deepen my data science proficiency and impact through innovative solutions.

I'm eager to explore new challenges and opportunities in Data Science, pushing the limits and contributing to technological advancement.

Skills

Experience

Education

  • Data Analysis & Automation
    Expertise in Python, SQL, and Machine Learning
  • Full-Stack Development
    Proficiency in PyQt5 for GUI development, and KLayout API for design automation
  • Project Leadership
    Leading teams in high-stakes environments to deliver innovative solutions
  • Feb 2024 - Present
    Data Scientist at Caterpillar CMDC. Leveraging data science techniques to optimize manufacturing processes, improve product quality, and drive cost savings. Developing machine learning models for predictive maintenance and anomaly detection.
  • Jan 2021 - Jan 2024
    Electrical Engineer II at Wolfspeed, NC. Spearheaded automated high-power test platform development and data analysis integration projects.
  • May 2020 - Aug 2020
    Optical/Electrical Engineer Intern at Scinovia Corp, Raleigh, NC. Focused on cutting-edge blood flow analysis and device enhancement.
  • Dec 2020
    M.S. in Electrical Engineering from Clemson University, SC. Focus in Photonics and Applied Electromagnetics.
  • July 2018
    B.S. in Applied Physics from Coastal Carolina University, SC. Focus in Engineering and Mathematics.

My Services

Data Automation

Specializing in automating data processes to enhance efficiency and accuracy. Expert in developing high-power test platforms and integrating complex data analysis with tools like Python, SQL, and MATLAB.

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Data Management & Analysis

Expert in managing extensive datasets, performing ETL operations, and utilizing Power BI for insightful data visualization. Skilled in Python, Pandas, NumPy, and SQL for comprehensive data analysis.

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Machine Learning & AI

Developing and deploying machine learning models to solve real-world problems. Proficient in Python, PyTorch, TensorFlow, and scikit-learn, focusing on binary and multiclass systems for predictive analysis and automation. Experienced in regression modeling for part cost prediction, cross-validation, and hyperparameter tuning.

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Portfolio

Entrepreneurial Ventures

Public Projects

Email Detection and Movement Application

Python app for spam classification and secure email key generation, enhancing email management and security, leveraging machine learning techniques for binary classification.

View on GitHub

Spreadsheet App

A powerful and intuitive spreadsheet application, built with Python and PyQt6, offering a range of features for merging, appending, and pivoting tables.

Download Executable View on GitHub

Private Projects

ManzCreations CRM

An innovative Customer Relationship Management system designed to enhance business workflows. Developed with a focus on usability and efficiency.

Download Executable

Automatic Invoicing for LINE Properties

Python-based tool for automating Airbnb and VRBO bookkeeping, reducing monthly workload by a week per client.

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Professional Experience

Workload Prediction

Python-based solution simulating program workloads using Gaussian distribution, optimizing parameters, and employing a clustering model for performance prediction.

Machine Learning Cost Prediction Model

Built a machine learning regression model to predict part costs, utilizing techniques like cross-validation and hyperparameter tuning for optimal performance.

Automated High Power Test Strategy

A comprehensive Python-based test setup using PyVISA for interfacing with key test instruments. Features threading for real-time temperature assessments via thermal camera integration.

Automated Device Parameter Extraction Tool

Led development of a Python tool with PyQt5 and KLayout API for extracting device parameters, enhancing design process efficiency with a user-friendly interface.

Compact Model Parameter Extraction Application

Developed a MATLAB application for simulating and optimizing parameters of Wolfspeed MOSFET devices, integrating LTSpice and MATLAB for accurate device modeling.

xSEM Image Junction Potential Characterization

Utilized MATLAB for SiC wafer potential analysis based on doping concentration, streamlining potential profile reporting within selected ROIs.

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Academic and Hobby Projects

Free Facebook Ad Bot

A Python bot that periodically checks Facebook Ads for free items based on user-defined keywords, sending email notifications for new findings. Configured via JSON.

Allocated Bourbon Finder Bot

Python bot for tracking the availability of specific bourbon brands across stores, generating Excel reports on stock status.

Recipe Generator Bot

Utilizes a database of recipes and user-provided ingredients to suggest possible meals, simplifying meal planning.

Drowsy Detector

A tool designed to detect user drowsiness and send alerts, enhancing safety through computer vision and alert systems.

Master’s Thesis: Distance Tracking Algorithm

Developed a MATLAB-based algorithm for distance tracking in biomedical imaging, with practical applications in surgery and diagnostics.

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Let's Connect

Interested in leveraging data to drive insights and innovation? I’d love to hear from you.

stevenmanz063018@gmail.com

+1 (423) 767-1092

Download My Resume

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