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Daniel Short is listed as Data Analyst | Uncovering opportunities through data | danielshort.me at City of Grand Junction, a with 285 employees, based in Delta, Colorado, United States. AeroLeads shows a matched LinkedIn profile for Daniel Short.
Daniel Short previously worked as Business Analyst at City Of Grand Junction and AI Data Quality Analyst at Randall Reilly. Daniel Short holds Master Of Science - Ms, Data Science from Eastern University.
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Driven by a passion for data science and skilled in transforming complex datasets into actionable insights, I excel in analytics and machine learning. My expertise spans Python (PyTorch and Pandas), SQL, Tableau, PowerBI, and Excel, enabling me to address and solve diverse data challenges effectively.At the City of Grand Junction, I developed a Python-based automation that reduced data processing times by 99%, significantly boosting operational efficiency. I also spearheaded a machine learning project that improved web engagement by automating the repair of broken links, leading to a measurable increase in user traffic.In my role at Randall Reilly, I pioneered the use of AI with decision trees and XGBoost, enhancing our data tracking capabilities by over 1000%. My work included developing a sophisticated autoencoder model in PyTorch that improved data integrity and operational efficiency by detecting and correcting errors automatically.During my tenure at Target, I designed and implemented Greenfield dashboards that led to a 180% increase in theft prevention and played a key role in refining the company's asset protection strategies.I am committed to continually exploring new ways to apply data science to drive meaningful business outcomes. As part of a team that values creativity, meticulous analysis, and real-world results, I aim to push the boundaries of what we can achieve with data.For discussions on innovative data solutions or potential collaborations, feel free to reach out at danielshort3@gmail.com or check out my website at danielshort.me. Together, we can harness the power of data to create strategic opportunities and transformative results.
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Grand Junction, Colorado, United States
• Integrated Python to transform day-long data tasks into two-minute processes via Google Colab, reducing mundane task time by 99%.• Spearheaded a machine learning initiative to automate website link repairs using NLP, significantly enhancing user engagement and web traffic.• Developed a custom neural network in PyTorch for precise, multi-scale financial forecasting, greatly improving budget accuracy.
• Revolutionized data processing by transitioning workflows from R to Python, deploying a one-click automation solution that leveraged GPU acceleration and multi-threading, slashing testing times by over 95%.• Pioneered the integration of AI and machine learning, utilizing decision trees and XGBoost to intelligently interpret serial numbers, expanding our tracking capacity by over 1000% and enhancing data precision.• Developed a sophisticated autoencoder model using PyTorch, introducing a novel approach to error detection that significantly improved data integrity and operational efficiency.
Montrose, Colorado, United States
• Self-taught in Greenfield BI tool, successfully trained my supervisor, demonstrating self-motivation and commitment to growth and data-driven solutions• Designed and implemented effective custom Greenfield dashboards with company-wide adoption• Improved theft prevention by 180% through trend analysis insights gained from personally designed dashboards
Dallas, Texas, United States
• Provided administrative support in various capacities, honing multitasking and organizational skills, important for efficient data management.• Mastered learning records management and reporting tools, underscoring proficiency in data analysis and reporting.• Managed mail and copy services, demonstrating skills in information management and dissemination.
Plano, Texas, United States
• Utilized Excel and Google Docs to generate detailed reports, demonstrating a strong foundation in data management and interpretation.• Managed financial record-keeping duties, requiring precision, accuracy and an understanding of basic numerical data.• Led youth outreach activities, gaining experience in data collection and analysis through monitoring and evaluating program effectiveness.
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Scott Beilfuss
Colleague at City Of Grand JunctionGrand Junction, Colorado, United States
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Doug Jones
Colleague at City Of Grand JunctionGrand Junction, Colorado, United States
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Jesse Seybold
Colleague at City Of Grand JunctionGrand Junction, Colorado, United States
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Kayla Carrigan
Colleague at City Of Grand JunctionGrand Junction, Colorado, United States
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Susan Hyatt
Colleague at City Of Grand JunctionGrand Junction, Colorado, United States
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Jack Beach
Colleague at City Of Grand JunctionGrand Junction, Colorado, United States
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Tyler Glassman
Colleague at City Of Grand JunctionGrand Junction, Colorado, United States
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Richard White
Colleague at City Of Grand JunctionGrand Junction, Colorado, United States
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Mary Sparks
Colleague at City Of Grand JunctionGrand Junction, Colorado, United States
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Bryce Waters
Colleague at City Of Grand JunctionGrand Junction, Colorado, United States
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Activities and Societies: Church Orchestra UTD Baptist Student Ministries
Activities and Societies: Music Intern Marching Band Church Orchestra Student Construction Association
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Daniel Short works for City of Grand Junction.
Daniel Short is listed as Data Analyst | Uncovering opportunities through data | danielshort.me at City of Grand Junction.
Daniel Short is based in Delta, Colorado, United States while working with City of Grand Junction.
Daniel Short has worked for City Of Grand Junction, Randall Reilly, Target, Glast, Phillips & Murray, P.C., and Hunter'S Glen Baptist Church.
Daniel Short's colleagues at City of Grand Junction include Scott Beilfuss, Doug Jones, Jesse Seybold, Kayla Carrigan, and Susan Hyatt.
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Daniel Short holds Master Of Science - Ms, Data Science from Eastern University.
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