Summary
Overview
Work History
Education
Skills
Websites
Research
Languages
Timeline
Generic

Christian Palomares

706 N 15th Ave ,IL

Summary

Highly driven and results oriented individual with expertise in data analysis, process engineering, and research. Proficient in Power BI, SQL, Python, Excel, and leveraging AI for research purposes.

Overview

2
2
years of professional experience

Work History

Process Engineer

ND Packaging
10.2023 - Current
  • Designed SQL data views to extract and analyze data from our enterprise applications
  • Used Power BI and SQL databases to generate monthly dashboards and reports to help management make data driven decisions
  • Used professional writing to write business requirements documents to lead technology integration projects
  • Improved quality and production processes, reducing waste, unplanned downtimes, and improving Overall Equipment Effectiveness (OEE)
  • Created a capacity plan using Excel spreadsheets and SQL tables which helped organize bookings and a 20 % increase in on-time delivery
  • Leveraged ChatGPT for efficient web-based information gathering on manufacturing topics.
  • Provided technical assistance to production team when issues arose.
  • Participated in project reviews to enable ongoing status tracking and reporting.
  • Implemented standardized work instructions, enhancing operator understanding of critical tasks and improving workflow consistency.
  • Identified bottlenecks in the production line through capacity analysis studies, increasing overall throughput rates as a result.
  • Reduced production downtime by conducting thorough root cause analyses and implementing corrective actions.
  • Conducted root cause analysis to identify, prioritize and eliminate process losses.
  • Coached newly hired employees and interns while observing progress and delegating tasks.
  • Improved process safety by conducting hazard assessments and implementing risk mitigation measures.
  • Championed and facilitated kaizen events to drive continuous improvement efforts throughout the organization, resulting in a culture of operational excellence.
  • Managed capital projects for the installation of new equipment or modifications to existing systems, ensuring timely completion within budget constraints.
  • Developed documentation, diagrams, and specifications to meet project requirements and regulatory standards.
  • Met weekly with team members to discuss project implementations and alleviate any issues.
  • Collaborated with cross-functional teams to improve product quality, resulting in increased customer satisfaction.
  • Reviewed processes, identifying areas requiring improvement.
  • Streamlined data collection methods for key process indicators, enabling real-time monitoring of operations performance trends.
  • Analyzed data to identify trends in production and maintenance costs and developed strategies to reduce expenses.
  • Streamlined data collection methods to improve quality control measures and minimize errors in analysis results.
  • Cleaned transformed, and analyzed large datasets to uncover hidden trends and patterns for actionable insights.
  • Developed custom data analytics solutions, leading to improved operational performance and strategic planning.
  • Extracted and assessed data from databases to drive improvement of product development and business strategies and processes.
  • Optimized business processes for increased efficiency through detailed data analysis and visualization tools.
  • Assessed accuracy and effectiveness of new and existing data sources and data analysis techniques.
  • Utilized advanced querying, visualization and analytics tools to analyze and process complex data sets.
  • Applied statistical and algebraic techniques to interpret key points from gathered data.
  • Translated business requirements into data-driven solutions, providing value-added insights that directly contributed to the organization''s strategic goals.
  • Designed visually appealing reports and dashboards using Power BI for informed decisionmaking.
  • Enhanced data visualization by designing interactive dashboards using Tableau and Power BI.
  • Supported executive decision-making by creating interactive dashboards using Tableau and Power BI.
  • Streamlined report generation for business users through development of interactive dashboards using Power BI.
  • Increased automation in reporting processes by designing dynamic dashboards using visualization tools like Tableau or Power BI.
  • Developed reports using SQL server reporting services.

Process Analyst Intern

ND Paper
05.2022 - 08.2023
  • Developed a forecasting model using Python and time series analysis to predict commodity prices for paper-making processes
  • Identified process improvements and applied mathematical analysis to manufacturing data
  • Used technical writing to develop and document Standard Operating Procedures (SOPs) for quality tests, resulting in a 20 percent decrease in quality claims from customers
  • Used a manufacturing industry database to create a map with over 3,000 potential sales leads.
  • Gained hands-on experience using advanced analytical tools such as Microsoft Excel for data manipulation purposes during daily work-related activities.
  • Collaborated with cross-functional teams to identify opportunities for process enhancements, resulting in improved productivity.

Education

Bachelor of Science in Physics -

Bradley University
Peoria, IL
12.2023

Skills

  • Bilingual: Fluent in Spanish and English
  • Analytic Thinking: Ability to synthesize information and draw conclusions from research
  • Problem Solving: Apply mathematics to improve efficiency and achieve strategic goals
  • Technology: Proficient in Python, AI, SQL queries, Microsoft Office, Power BI, Excel, Forecasting
  • Data Analysis
  • Process Development
  • Team Collaboration
  • Production Planning
  • Process Validation
  • Process flow analysis
  • Project Management

Research

Undergraduate Research Assistant, 05/2022, 05/2023, Department of Physics, Bradley University, Peoria, IL, Used Python to model the unknown parameters of 27 fast-rotating stars found by the Kepler telescope., Utilized various astronomy and mathematical Python packages to model the unknown parameters of my model. Astronomy., Applied physics principles to manipulate equations and determine unknown parameters.

Languages

English
Native or Bilingual
Spanish
Native or Bilingual
French
Limited Working

Timeline

Process Engineer

ND Packaging
10.2023 - Current

Process Analyst Intern

ND Paper
05.2022 - 08.2023

Bachelor of Science in Physics -

Bradley University
Christian Palomares