Noah Becker Resume

1. NOAH BECKER
9540 Russell Avenue South  Bloomington, MN 55431  (952) 607-9085  beck0910@umn.edu
EDUCATION
UNIVERSITY OF MINNESOTA, Minneapolis, MN
Carlson School of Management
Master of Science in Business Analytics – Valedictorian May 2020
GPA: 4.00/4.00
College of Science and Engineering
Bachelor of Science with Distinction in Statistics and Economics May 2019
GPA: 3.89/4.00
EXPERIENCE
CARLSON ANALYTICS LAB, Minneapolis, MN
Analytics Student Consultant July 2019 – Present
Client: Global Leader in Manufacturing and Engineering – Best Overall Project
• Developed novel two-stage predictive model in Python that predicted outcome of sales opportunities with 95%
accuracy and decreased error of quarterly sales forecasts by over 90%; expected to save client millions yearly
• Created intuitive, interactive visualizations that communicate model predictions to end users with Power BI
• Led team of analytics students in meeting deadlines and delivering valuable insights as project manager
Client: Leading Hospitality and Entertainment Business – Case Competition Finalist
• Leveraged disparate data sources with 3M+ rows to assess promotional coupon effectiveness using R and
established 12 distinct customer segments through clustering techniques
• Delivered targeting strategy to increase yearly revenue by $3.5M and headcount by nearly 100K
Client: Mall of America
• Detected anomalies and performed exploratory data analysis on 3 years of call data using Tableau, R, and
Python to make actionable recommendations for optimizing staff allocation across locations and time
SLEEP NUMBER, Minneapolis, MN
IT Intern June 2018 – August 2018
• Developed and implemented automated machine learning tool in Python using 1M+ data points that predicts
and communicates likelihood of sales conversion with 90% accuracy
• Created large scale data cleaning process that handles dataset with almost 50% missing data
• Collaborated and communicated with leadership and various business units including IT, finance, marketing,
sales, and retail to identify areas of weakness and deliver relevant solution
DATA SCIENCE PROJECTS
Fraud Analytics: Detected threats to website security in real time with a live dashboard of web log data fueled by
AWS and Power BI; communicated business value to classmates and industry professionals alike
Automated Machine Learning: Researched Python AutoML package TPOT and applied automated prediction
pipeline to sensitive, deidentified financial data where manual feature engineering is impractical
Adobe Analytics Challenge: Analyzed web traffic for a major American sports league and made recommendations
in response to seasonal engagement patterns and preferences within key international customer bases
LEADERSHIP
Founding Officer, MINNESOTA SWIM CLUB, University of Minnesota September 2015 – May 2020
• Supervised group of 50+ students as president from 2018 to 2019; coached and led practices 3 days per week
• Organized and hosted meets with 10+ teams across Midwest; coordinated travel logistics to multiple away
meets each semester; budgeted and managed finances of entirely student-run club
Assistant Swim Coach, MINNESOTA FLYERS, Minneapolis, MN August 2017 – March 2019
• Coached and wrote tailored practices for team with 60+ swimmers from elementary to high school
TECHNICAL SKILLS
• Tools: Python, R, SQL, C++, Stata, Power BI, Tableau, Adobe Analytics, Hadoop, Spark, Hive, AWS
• Techniques: Predictive Modeling, Exploratory Data Analytics, Time-Series Forecasting, Experimental Design,
Data Visualization, Causal Inference, Econometrics, Social Network Analysis, Optimization, Data Engineering