Richard Wolff

Senior Data Scientist

• Using Python & Databricks, I created a package that contextualized billions of data points to enable manufacturing engineers to identify non conformances.
• Using composite design patterns, we were able to scale our non conformances package to 8 lines by only adding json configurations for each new line.
• Created an NLP classification model that identified precursors to serious injuries and fatalities through written incident reports.
• Mentored 3 data scientists on how to productionize and deploy their machine learning models
• Pipelined multiple datasets and enabled access to other business and advanced analytics users

Data Scientist

• Used statistical modeling to identify potential changes in metrics after altering business strategies
• Used network analytics to identify individual customers and how they connect to similar customers
• Mentored other analysts to help grow their python, sql, and excel programming skill set
• Created dashboarding environment for sales, marketing, merchandising, and warehousing functions using Power BI
• Automated ETL process Google Analytics & Fullstory Data
• Built and Documented a Data Warehouse using SQL SERVER

Senior Insights Analyst

• Used regression & minimization techniques to develop media mix models and find time decay of various advertising channels. Ad spend budgets have been shifted from channel to channel from this analysis
• Automated scripts to run and distribute company reporting using SQL, Python, Powerpoint, & Tableau
• Managed a centralized Postgresql database and automated ETL activities including extracting data from different sources (google sheets, sftp grabs, email inbox, web scrapes, google analytics), transforming the files using tools like SED & Python, and loading into the database using windows batch files with windows scheduler
• Represented analytics team and consistently presented in executive meetings (C, EVP, & VP levels)
• Planed analytics strategies and projects while managing team expectations throughout the organization
• Designed, Wireframed, and developed executive level reports using Tableau

Category Analyst

• Successfully shifted product mix at a national retailer based on analysis using merchandising analysis
• Built a data aggregation web app using Python, Django, HTML, and CSS
• Designed and managed a MySQL database of retailer point of sale data
• Built and maintained an executive level dashboard using MySQL, Python pandas/numpy/matplotlib, and Excel
• Performed ad-hoc analyses of point of sale data to develop actionable insights, analyze business operations to determine profitability
• Identified incremental sales opportunities by analyzing under-performing SKUs and performing market basket analysis to drive the highest sales affinity rates

Territory Manager

Outside Sales Rep