Summary
Overview
Work History
Education
Skills
Certification
Leadership Experience
Timeline
Generic

JACOB HANZLIK

Pittsburgh,PA

Summary

Results-oriented Data Analyst and SCADA Engineer at Nacelle Solutions, proficient in Python and Power BI. Elevated operational decision-making by 15% through sophisticated data analysis and dashboard creation. Demonstrated expertise in fostering collaboration within agile teams, streamlining resource planning, and enhancing data governance for biogas plant operations.

Overview

4
4
years of professional experience
1
1
Certification

Work History

Data Analyst / SCADA Engineer

Nacelle Solutions
Pittsburgh, PA
06.2024 - 08.2025
  • Developed Ignition-based HMI and SCADA dashboards enabling real-time monitoring of 5 biogas plants and an external landfill site.
  • Built and maintained Power BI dashboards that improved operational and engineering decision-making by 15%.
  • Analyzed 50M+ rows of data using SQL, Python, and BI tools to generate performance insights and automate reporting.
  • Supported medallion-style architecture implementation, improving data governance, scalability, and analytics reliability.
  • Created Power BI reporting for labor hours, site commissioning, and travel metrics, enabling cost-optimized resource planning.
  • Collaborated in a startup-like data team using agile methodologies to accelerate pipeline development and cross-functional communication.

Fellow Co-Author

Optimal Production Scheduling Research
Pittsburgh, PA
05.2023 - 05.2024
  • Developed a multi-integer linear programming (MILP) model to optimize scheduling for multimillion-dollar manufacturing operations.
  • Co-authored research (pending publication) involving quantitative modeling, experimental design, and algorithmic development.
  • Designed methods to handle sequential operations, parallel machine environments, and production workflow constraints.

Research Assistant

NBA TopShot Data Science Research
Pittsburgh, PA
06.2021 - 12.2022
  • Modeled and analyzed large digital trading datasets to predict transaction behavior and market trends.
  • Conducted regression, outlier detection, and fraud analysis using R and statistical techniques.
  • Developed reproducible R scripts for hypothesis testing, statistical summaries, and data visualization.
  • Collaborated with faculty and research teams to interpret findings and produce data-driven insights.

Education

Master of Business Administration - Sustainable Business Practices

Duquesne University
Pittsburgh, PA
05-2024

Bachelor of Science - Economics & Statistics

University of Pittsburgh
Pittsburgh, PA
04-2023

Skills

  • Python
  • R
  • SQL
  • Java
  • C and C
  • MATLAB
  • JavaScript
  • Power BI
  • Data analysis and visualization
  • HTML and CSS
  • Statistical modeling
  • Predictive modeling
  • Big data analysis
  • ETL processes
  • Optimization algorithms

Certification

Ignition Core Certification, Inductive Automation

Leadership Experience

  • Vice President of Finance, Duquesne Net Impact Chapter
  • Member, University of Pittsburgh Student Government – Facilities, Tech & Transportation Committee

Timeline

Data Analyst / SCADA Engineer

Nacelle Solutions
06.2024 - 08.2025

Fellow Co-Author

Optimal Production Scheduling Research
05.2023 - 05.2024

Research Assistant

NBA TopShot Data Science Research
06.2021 - 12.2022

Master of Business Administration - Sustainable Business Practices

Duquesne University

Bachelor of Science - Economics & Statistics

University of Pittsburgh