Arjun Nagesh

About Arjun Nagesh

Master\'s in Industrial Engineering from Texas Tech University, specializing in Design of Experiments, statistics, data science, and lean management. My career combines technical expertise with business acumen to solve complex operational challenges through data.What I DoAs a Data Analytics Engineer at Copart for the past 3 years, I\'ve built a reputation for delivering cross-functional analytics solutions across multiple departments. I partner closely with stakeholders to understand their business needs, identify bottlenecks, and transform complex data into actionable insights that drive decision-making.Technical Expertise:Data Analysis & Visualization: SQL on BigQuery, Tableau dashboardsData Engineering: Airflow ETL pipelines, PentahoAdvanced Analytics: Anomaly detection (ARIMA Plus and other models), cohort analysis, predictive modelingEmerging Tech: AI-driven automation projectsI thrive in ambiguity and versatility—supporting diverse departments rather than being siloed in one area. Whether it\'s building automated data pipelines, detecting anomalies in business metrics, or creating executive dashboards, I focus on translating technical solutions into measurable business outcomes.BackgroundI began my career at ProAutomated as a Field Controls Engineer, working with companies like Amazon, Walmart, and Tesla on automation systems. This experience gave me a unique understanding of operational processes, which now informs how I approach data analytics—I see both the technical infrastructure and the business story behind the numbers.

Experience

1. Business Intelligence Developer

   Copart

   Jul 2023 — Present · Dallas, TX, US

   Develop and maintain interactive Tableau dashboards and reports for executive leadership and operational teams across the organization• Lead AI-driven automation projects to streamline manual processes, reducing report generation time by 40% and improving operational efficiency• Support diverse business units without being confined to a single department, adapting to varied analytical needs• Build and optimize 100+ SQL queries on BigQuery to extract, transform, and analyze large datasets containing millions of records daily• Design and maintain 20+ ETL pipelines using Airflow to automate data workflows and ensure 99%+ data quality and accuracy• Deploy anomaly detection models using ARIMA Plus and other statistical methods to identify irregular patterns, detecting 95% of business metric anomalies• Perform root cause analysis to identify operational bottlenecks and process inefficiencies, resulting in 30% faster issue resolution• Deliver actionable insights that drive data-driven decision-making at all organizational levels, supporting 200+ users monthly• Present complex analytical findings in clear, compelling narratives to non-technical audiences in 50+ presentations annually• Identify and prioritize opportunities for process improvement and automation, implementing 25+ enhancement initiatives over 3 years

Education

• Don Bosco Institute of Technology (D.B.I.T)

  Bachelor's degree, Mechanical Engineering

  2014 — 2018

• Texas Tech University

  Master of Science - MS, Industrial Engineering

  2019 — 2021