Chris Burson

ChrisBurson@gmail.com

Education & Certifications

Master's in Analytics

Georgia Institute of Technology - Atlanta, GA – GPA 3.9 - Aug 2020 to May 2022

Bachelor's in Business Management

Georgia Institute of Technology - Atlanta, GA – GPA 3.0 - Sept 2004 to Dec 2008

NielsenIQ Discover Certification

NielsenIQ - February 2023

Lean Six Sigma Yellow Belt

Georgia Institute of Technology – May 2021

Analyzing and Visualizing Data with Microsoft Power BI

Microsoft – Sept 2019

Introduction to Python for Data Science

Microsoft – July 2019

Python 101 for Data Science

IBM – July 2019

Experience

OmniSales Data Analyst

Nielsen IQ - Remote – July 2022 to Present

• Python Jupyter Notebooks for processing large datasets, data wrangling, ingesting 5 million items weekly

• Optimized ETL pipeline reducing memory errors and saving other analysts hours per week with automation

• Snowflake SQL for KPI generation, ETL with Azure Blob, pulling data from multiple data sources

• Managed ML model for creating brand/category predictions for over 22 million unique items weekly in retail CPG, improving model accuracy by several percent with improved model hyperparameters and review/selection of training data

• Improved accuracy of test set for RNN model, combining factors needed by Product Leadership and a more well rounded approach to the sample, increasing in both breadth and depth

• Creating training/test set and weekly ETL for a new transformer model, eliminating many factors in our previous RNN that would cause accuracy issues. Went from 16 distinct models to a single model

• Converted manual review of KPIs from Excel into PowerBI dashboard for product owners allowing actionable insights and saving multiple hours of work per week

Operations Manager 

LAZ Parking - Atlanta, GA - March 2013 to July 2020

• Created custom reports and sql queries with T-SQL database, saving company service calls to provider to generate the same report

• Wrote shell scripts to automate report generation offsite, creating a time savings equivalent to two hours per day

• Created dashboards with Power BI to give executive leadership overview of KPIs, mainly in call center operations. Now able to identify outliers in calls to address issues before they get out of hand

• Increased revenue by 17% by reviewing lease agreements and comp spacing for legacy tenants in buildings

• Decreased AR and delinquent payments by working with clients and their internal billing systems to optimize payment speeds

• Increased accuracy of yearly budgets by implementing holt-winters and exponential smoothing to account for the variability in parking nature vs the original that only accounted for weekdays and weekends

• Increased training of staff on parking equipment, creating an environment of self service and pride in their work

Senior Manager

Lanier Parking - Atlanta, GA - January 2009 to March 2013

• Managed daily operations for one of the largest mixed-commercial property in the southeast

• Implemented multiple maintenance procedures and provided video documentation to train staff, decreasing equipment downtown and reducing after hours calls to vendor

• Created a marketing plan utilizing social networking to increase value to clients

Skills

• SQL (3 years) – Data wrangling in T-SQL, PostgreSQL, SQLite, Snowflake

• Python (3 years) – Pandas, Numpy, Scipy, Monte Carlo Simulation, Time Series

• R (2 years) – Regression, KNN, SVM, PCA, Data Cleaning

• PySpark (1 year) – SparkSQL, EMR, Databricks, GCP

• Six Sigma Yellow Belt (1 year) – DMAIC, SIPOC, Value Stream Mapping, Storyboarding

• Power BI,Tableau (1 year) - Dashboards, Data visualization

• Financial Analysis (8 years) – P/L, GL, Balance Sheet, Income Statement

• Excel (10+ years) – Financial Modelling, DCF, FCF, VBA Scripting, Pivot Tables, VLOOKUP(XLOOKUP)