As a Principal Economist at Workforce Solutions, I leverage my extensive data analytics skills and economic knowledge to provide insightful and actionable information on the Greater-Houston labor market. I have over 9 years of experience in conducting economic analyses, collecting data, writing reports, and representing the organization in public and media engagements. My core competencies include data mining, forecasting, dashboarding, modeling, database management, economic research, machine learning, and data visualization. I have developed and implemented various innovative and impactful data products and projects, such as a proprietary index to quantify local labor market imbalances, a custom ARIMA time-series forecasting application in Python, and a SVM classification technique to generate local insights on job automation. My mission is to inform and empower diverse stakeholders, such as employers, policymakers, and community groups, with reliable and relevant data to unlock their full potential.𝐏𝐑𝐎𝐉𝐄𝐂𝐓𝐒/𝐏𝐑𝐎𝐃𝐔𝐂𝐓𝐒✓ Developed proprietary index similar to BLS JOLTS survey to quantify local labor market imbalances by serving as a coincident indicator of economic inflection points, and providing a methodology for adjusting work search requirements of unemployed individuals✓ Designed and implemented custom ARIMA time-series forecasting application in Python by using Day-Forward Chained Cross-validation technique✓ Developed ultra-detailed wage analysis tool to determine competitiveness of wages by occupation to aid employers in optimizing compensation, improving attraction rate of qualified candidates✓ Reproduced Support Vector Machine classification technique used in Oxford job automation to generate first-of-its-kind local area insights and apply process, improving upon accuracy of original results✓ Created custom Excel monthly dashboard data visualization tool, aiding business consultants in identifying employer-specific hiring trends and improving strategic targeting and outreach✓ Developed MySQL database and managed data by using Python script to securely house, update, and query 2.3 million UI claimant records𝐒𝐏𝐄𝐂𝐈𝐀𝐋𝐓𝐈𝐄𝐒Management | Data Analytics | Statistical Analysis | Data Mining | Forecasting | Dashboarding | Modeling | Economic Research | Machine Learning | Relational Databases | KPIs | Data Visualization | Time Series Analysis | Classification Algorithm | Web Scraping | Automation | Project ManagementExcel VBA, PowerPoint, Python, MySQL, ARIMA, Jupyter Notebook, R, SAS, Tableau, Asana