Experience

Steves & Sons, Inc.

• United States
• Wholesale Building Materials
• 1 - 100 Employee

• Data and Reporting Analyst

  • Nov 2022 - Present

  - Developed Machine Learning model that forecast sales with 90% accuracy in Power BI using Python - Implemented 100% automated costs tracking report for all 15 product categories at the single parts - Replaced 99% of Power BI related manual data entry with optimized SQL queries - Cut Power BI reports refreshing time by 90% on average while adding more features and capabilities - Developed Machine Learning model that forecast sales with 90% accuracy in Power BI using Python - Implemented 100% automated costs tracking report for all 15 product categories at the single parts - Replaced 99% of Power BI related manual data entry with optimized SQL queries - Cut Power BI reports refreshing time by 90% on average while adding more features and capabilities



Texas Workforce Commission

• Government Administration
• 700 & Above Employee

• Data Analyst

  • Jul 2022 - Aug 2022

  - Built a data pipeline using SQL and Python that detected over 200k fraudulent benefits claims since 2020 - Designed a Texas map, representing fraud rates by color-coding individual boards to showcase trends - Condensed key insights into a user-friendly 5-page Tableau dashboard, with a 100% satisfaction - Delivered an concise executive presentation with key insights and future roadmap - Built a data pipeline using SQL and Python that detected over 200k fraudulent benefits claims since 2020 - Designed a Texas map, representing fraud rates by color-coding individual boards to showcase trends - Condensed key insights into a user-friendly 5-page Tableau dashboard, with a 100% satisfaction - Delivered an concise executive presentation with key insights and future roadmap



CUS Torino

• Italy
• Spectator Sports
• 1 - 100 Employee

• Sport Analyst

  • Jun 2016 - Jun 2019

  - Traced team’s progress leveraging by speed sensors and video analysis on weekly basis - Identified running KPI using statistical modeling based on collected data - Boosted teams' performance by 10% every year, exceeding expectations - Traced team’s progress leveraging by speed sensors and video analysis on weekly basis - Identified running KPI using statistical modeling based on collected data - Boosted teams' performance by 10% every year, exceeding expectations