Scott Kroeger
Willing to Relocate 512-***-**** adboyt@r.postjobfree.com www.linkedin.com/in/scott-kroeger/
Dedicated Data Scientist
Machine Learning Web Scraping Data Visualization Data Analysis
Analytical and perceptive data scientist with experience modeling problems from a broad array of subject domains. Thrives in the face of a challenge – seeking to solve complex problems, improve processes, elevate data-driven corporate cultures, and drive organizational change. Utilizes cutting-edge analytical tools and techniques – creating actionable insight and understanding through the analysis of both quantitative and qualitative data, building recommendations that directly address business objectives.
Core Competencies
Data Analysis Data Visualization Quantitative Analysis Modeling Collaboration
Regression Classification Natural Language Processing Machine Learning Deep Learning
Data Visualization Critical & Creative Thinking Data Manipulation Active Learning
Technical Competences
Python Selenium BeautifulSoup Pandas Scikit Learn Imbalanced-learn Flask SQL
Gensim TFIDF NMF Keras TensorFlow Perl Seaborn Matplotlib
Professional Experience
DATA SCIENTIST Metis – Seattle, WA 9/2019 – 12/2019
Thrived in and completed a 12-week ACCET accredited immersive data science boot camp with focus on statistical modeling, machine learning, data visualization, project design and stakeholder communication. Skillfully navigated through diverse projects and problems.
PROJECT HIGHLIGHTS:
Classifying Egyptian Hieroglyphs: Applied deep learning techniques to an image classification problem employing convolutional neural network to classify images of Egyptian hieroglyphs.
Relevant Advertisement Placement on Reddit Forums: Leveraged Natural Language Processing to forum post titles for topic modeling and placement of advertisements related to forum post and retrieval of additional related posts for further reading.
Customer Churn Prediction: Applied supervised learning models to predict if a customer would discontinue using a telecom's services. Models include Logistic Regression, Naive Bayes, Support Vector Machines, Random Forests, and XGBoost.
Airbnb Room Prices: Built a linear regression model to predict room prices based on features using room data scraped from the Airbnb website.
MANAGER OF IT SERVICES Greater Iowa Credit Union – Ames, IA 5/2008 – 9/2019
Hired as an IT systems coordinator and promoted to lead as manager of IT services – leading a team of 4 in support of technical operations for 110 employees and 32K members. Tasked with overhauling the team culture and elevating standards and processes while overseeing all computer systems, audit requirements, strategy planning, and departmental budget management. Directed report development and maintenance using SQL with IBM DB2, and Microsoft SQL Server databases.
KEY HIGHLIGHTS:
Leveraged strong project management prowess during a major core conversion – removing antiquated technology to build an optimized backend database.
Implemented a debit card reissue process utilizing Python programming and SQL – coordinated databases across multiple systems, updated vendors, and drove change management to allow for the reissuing of 19K debit cards.
Singlehandedly studied and utilized SQL to foster a more data-driven environment – boosting queries to improve the complexity and accuracy of reports.
Employed Python in the creation of an employee loan interest reimbursement program – handpicked by the president of the organization to tackle the project.
Managed all IT related functions and processes for the opening of 3 new branches.
Transitioned the debit card reissuing process to an in-house function – drove all program planning and development.
Early Experience
TECHNICAL ANALYST Mail Services LLC
COMMUNICATION/NAVIGATION SYSTEMS SPECIALIST United States Air Force
Education
BACHELOR OF COMPUTER SCIENCE Iowa State University