Pratap Puttaswamy
Business Intelligence Engineer @Arrow Electronics
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WORK HISTORY
Business Intelligence Engineer @Arrow Electronics
Phoenix, AZ, US
Automated repetitive data wrangling using Python, freeing ~10 hours/week and enabling faster insights for warehouse and production managers. Automated 30+ reports on financials, inventory, production lines, and warehouse metrics using SQL, Power BI, and Power Automate reducing manual work by 60%. Engineered ETL pipelines from Oracle, SQL Server, and DMS to consolidate data on BOMs, line performance, and SKU-level inventory across in ops. Built dashboards to monitor stock levels, order cycle times, BOM accuracy, and production throughput across NA & EMEA sites.🧩 Owned and maintained Power Apps, SharePoint sites, and flows for site requests, visitor logs, and production tracking workflows.
EDUCATION
The National Institute Of Engineering, Mysore
Bachelor's degree, Information Technology
D'Amore-McKim School of Business at Northeastern University
Master of Science in Business Analytics, Business Analytics
ABOUT PRATAP PUTTASWAMY
7+ years of experience in data analytics, visualization, migration, integration, and governance, transforming large datasets into actionable insights. Master’s in Business Analytics graduate, proficient in Power BI, SQL, Python, Tableau, and cloud-based data solutions, optimizing reporting and automation to enhance decision-making by 40%. Key Achievements & Experience: Business Intelligence & Reporting: Built 20+ Power BI dashboards, automating reporting and improving data-driven decisions by 50%. Data Governance & MDM: Enhanced data accuracy by 25% at WSP USA, integrating Profisee MDM & Oracle Fusion SSMS across 5+ global regions. Data Analytics & Insights: Analyzed SKUs for NOVICA, boosting sales conversions by 20% through data-backed strategies. Process Automation: Developed ETL pipelines, cutting manual effort by 50% and improving operational efficiency. Supply Chain Analytics: Leveraged advanced analytics to optimize logistics and supply chain processes, enhancing efficiency and reducing costs. Leadership : Led a 7-member team, presenting insights to executives & clients, securing stakeholder buy-in. Technical Skills: BI & Visualization: Power BI, Tableau, Looker, Excel, DAX, Google Data Studio Databases & Querying: SQL (PostgreSQL, MySQL, MS SQL Server), NoSQL (MongoDB) Data Analytics & Machine Learning: Python (Pandas, NumPy, Scikit-learn, TensorFlow), R, SAS, Statistical Modeling, Forecasting, A/B Testing, Predictive Analytics Data Engineering & Integration: SSIS, ETL Pipelines, Snowflake, AWS Redshift, Google BigQuery, Databricks, Apache Spark Cloud & DevOps: AWS, GCP, Azure Data Factory Project Management & Tools: Jira, GitHub, Agile/Scrum, Confluence Certifications: Microsoft Power BI Data Analyst Associate Education & Coursework: Foundation of Data Analysis for Business – Data-driven decision-making principles Data Mining / Machine Learning – 🤖 Predictive modeling & clustering techniques Global Field Study – Business analytics applications across global markets Info Visuals and Dashboards – Designing interactive dashboards for insights Operations and Supply Chain Management – Process optimization & logistics analytics Creating and Sustaining Customer Markets – Market segmentation & customer insights Career Management – Professional development & industry networking Introduction to Business Analytics – Foundational concepts & business intelligence Data Wrangling for Business – Data cleaning, transformation, and preparation
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