Lukas Taylor Email & Phone Number

Curious data scientist excited by processing messy data into informed business decisions. Experienced with the entire data pipeline: from Extract, Transform, Load (ETL) to presenting findings. Knowledgeable in both traditional econometric analytics and machine learning. Communicate understandable information from complex trends. Dependable co-worker looking to find long-term home for my custom Business Intelligence tools and methods.Portfolio: https://github.com/lukastay/Lukas-Taylor-Repository/blob/main/README.md

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  Data Analyst

  Headline Research Llc

  May 2016 - Present - Springdale, Arkansas, United States

  ● Work for family-owned firm that boosts growing CPG and retail firms by using surveys, predictive modelling, and focus groups○ Undergraduate Semesters: Part-Time○ Undergraduate Breaks: Full-time○ Since Graduation: Full-Time ● Streamline ETL process: ○ Extract Core Data From Messy Sources - Advanced SQL, Salesforce, Excel, Azure○ Transform Data With Advanced Outlier Detection, Feature Engineering, Imputation, Normalization, Standardization, KPI Calculation○ Load Ready-To-Use Relational Data Models With Columns That Automatically-Refresh● Ensure company data architectural guidelines, principles, and standards are followed● Use machine learning and econometric Python tools to hone in on trends and patterns:○ Regression Predictive Analytics○ Classification Predictive Analytics○ Clustering○ Forecasting○ A/B Testing● Transform findings into striking visualizations using:○ Power BI - With DAX, R, Python, Seaborn, Matplotlib○ Tableau● Present findings directly to clients by building:○ PowerPoint presentations - extract actionable insights from complex data trends ○ Dashboards - allow clients to go hands-on with data during meetings

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  University Of Michigan

  Economics