My Résumé
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Gus Lipkin
What Drives Me
I’ve always loved asking ‘how?’ and ‘why?’ Since starting my journey as a data scientist, I’ve been able to answer ‘how?’ by developing tools to support my teammates and clients, while answering ‘why?’ with analyses to support data driven decision making. I’m looking for a position where I can develop my career using my skills to make a positive impact both within the company and with external clients and business partners.
Experience
Data Scientist – Lander Analytics
- Meet with clients from project start through completion, discussing key metrics and progress at every step
- Complete code reviews and make suggestions for clients and instruct them on data science best practices
- Build data pipelines in R or Python using tools such as Kestra, Prefect, and targets for orchestration
- Create interactive content using Quarto with Observable JS and DuckDB or Shiny for R hosted in Docker
- Maintain a working knowledge of Unix and Linux systems to help diagnose and resolve issues with data science infrastructure including the Posit Workbench, Connect, and Package Manager
- Directly contribute to open source R packages such as renv and blastula while sparking discussions in others
Data Analyst – Publix Super Markets
- Develop novel analyses and models to provide key insights to business stakeholders including store managers
- Build and maintain internal R packages to aid in analysis such as ‘publixdate’ for working with Publix’s system of dates or ‘pubsub’ for general utilities and a streamlined database connection interface
- Seek out and participate in strategic initiatives which require analytic support from across corporate
- Visualize data and create reports in Power BI to display model performance and facilitate data-driven decisions
Data Science Project Team Lead – Tallahassee Memorial Healthcare
- Correlate patient feedback to readmissions and patient experience using linear regression and decision trees
- Create an interactive training tool for nurses using results found in the analysis with HTML and JavaScript
- Work with capstone sponsor to define project timeline and goals and author a report on project findings
Projects
AEDify – Lander Analytics
- Develop AEDify, a custom occupancy forecasting tool leveraging AI and machine learning technologies to help inform building operations decisions allowing for significant operational adjustments turned cost savings
- Meet with development partners to hear feedback and improve user interface and user experience
Interactive Dashboard with Observable JS and DuckDB – Lander Analytics
- Worked to replace a client’s Shiny for R dashboard with ObservableJS and DuckDB to reduce hosting costs
- Defined project goals and milestones and met with the client biweekly to ensure the project met expectations
- Delivered the project on time and successfully transferred domain knowledge to the client team
Shrink Narrative Reports – Publix Super Markets
- Built a fully automated reporting pipeline with R and Python in for Spark in a Databricks environment that delivers monthly PDF reports to all Publix stores to support goals to reduce retail shrink
- Analyzes store shrink metrics and provides actionable insights through targeted operations suggestions
- Built and implemented a SQL translation function leveraging the tidyverse, dbplyr, and sparklyr to expedite writing new targeted operations suggestions as operations leaders see demand
- Completed the project four months ahead of schedule and saved $85k per year in contracting costs
Store/Item Activation Recommendations – Publix Super Markets
- Implemented a machine learning recommendation system to optimize store/item availability combinations
- Accepts any combination of stores and items and imputes data for missing combinations
- Uses the tidymodels suite to cluster stores based on similar latent features from the recommendation process
- Pioneered “project as a package” for easier documentation, maintenance, legibility, requirements, and usability
Education
– Bachelor of Science, Business Analytics with concentrations in Quantitative Economics & Econometrics and Intelligent Mobility
– Associate of Arts