Summary
Overview
Work History
Education
Skills
Software
Timeline
Generic

ROBERT WILLOUGHBY

Columbus,Ohio

Summary

A motivated and innovated data Scientist with a double Master’s degree in Data Analytics, Economics and advanced certificate in Data science. I'm Interested in this role, to apply acquired skills that solve business problems, increase productivity, revenue and profit. In previous roles, I cleaned large datasets, applied machine learning, predictive analytics skills, developed statistical models that increased revenue, analyzed patterns & trends, gave recommendations to stakeholders and management for effective decision making. I'm Proficient with: Cayuse, SQL, Python, R , SAS, Agile environment, Tableau ,PowerBi and some level of Workday.

Overview

13
13
years of professional experience

Work History

Statistical Analyst (Contractor )

OSU Innovation and Commercialization Office (I&C, OIED)
12.2022 - Current
  • Prepare data analysis to evaluate technology portfolios and licensing trends
  • Clean exported data from Cayuse to ensure data quality, give accurate reports and maintain data governance standards that meets OSU and sponsor requirements
  • provided statistical interpretation for graphs, tables and charts.
  • Build models , perform statistical analysis, discover trends, patterns and insights for informed decision making by management.
  • Create dashboards, charts, and other reports for management monthly meetings.
  • Collaborate with Licensing officers, Directors and various teams by providing their data needs, reports and simultaneously manage multiply data projects with focus priories to meet timelines.



Data Scientist

NYC Data Science Academy
07.2021 - Current
  • Predicting Customer Churn using Python
  • Using Bank customer dataset, applied machine learning techniques, predicted customers that will churn in months ahead and identified high and low risk churn customers. Recommendations where prescribed for management to offer incentives to high risk churn customers to prevent them from exiting
  • House price prediction using advanced regression techniques
  • Used python to clean, transform variables to normal form, prepared the dataset for modeling and predicted the sale of house prices in Ames Iowa. The analysis and visualization show that: Overall house quality, age of house, heating quality, kitchen quality and house price per square foot are the key features that influenced the sale of a house.
  • Python Web Scraping Project
  • Using Python; Scraped data of the world’s top 500 manufacturing companies from Wikipedia; performed exploratory and numerical analysis.
  • R Shiny Project
  • Using Flights dataset, analyzed arrival flights delayed and created a R Shiny app for Las Vegas arrival flights.

Data Analyst

Global Alliance Solution
03.2018 - 11.2022
  • Collected, cleaned large datasets, analyzed patterns & trends and interpreted data for Stakeholders and management team on a weekly basis.
  • Used KPI’s to measure the effectiveness of business decisions made using data reports, created presentations and reports based on findings within datasets using Python and Tableau
  • Worked on data analysis and visualization projects from end to end by using analytics visualization tools such as Tableau to create Dashboards for stakeholders and management

Program Worker

Department Of Developmental Disabilities
08.2012 - 01.2017
  • Performed validation of datasets and presented results with Tableau dashboards accordingly to stakeholders
  • Identified, applied statistical analysis, interpreted trends in complex data and created dashboards using visualization techniques
  • Analyzed business processes and other metrics for trends and patterns
  • Generated reports by summarizing business, financial and economic data

Education

Master's - Analytics

Capella University
Minneapolis, MN
12.2019

ScrumMaster Certificate And - Project Management Professional (PMP) Certificate

The Computer Workshop
Columbus, OH
11.2019

Master's - Economics

The University Of Toledo
Toledo, OH
12.2010

Skills

  • Program Languages :SQL(MySQL)/NoSQL(MongoDB)/Apache Spark(RDD, MLlib)/Python(Numpy, Pandas, Scipy, Scikit-learn, Scrapy)/
  • R(dplyr, ggplot2, shiny) / SAS/Spark/HiveApache Hadoop (MapReduce, HDFS)/ Apache Hive / Amazon AWS
  • Tools & DBMS :Jupyter Notebook/RStudio/Excel/Tableau/Git/MySQL
  • Machine Learning :SVM /XGBoost/Neural Network / Random Forest / GLM /PCA/Clustering/ Naive Bayes/KNN
  • Analytics :Descriptive Analytics / Diagnostic Analytics /Predictive Analytics / Prescriptive Analytics
  • Visualization : Tableau , PowerBi , Microsoft suite
  • Proficient with Cayuse (Innovate) and intermediate level of using Workday

Software

Python, R , SAS, SQL, Tableau , PowerBI

Timeline

Statistical Analyst (Contractor )

OSU Innovation and Commercialization Office (I&C, OIED)
12.2022 - Current

Data Scientist

NYC Data Science Academy
07.2021 - Current

Data Analyst

Global Alliance Solution
03.2018 - 11.2022

Program Worker

Department Of Developmental Disabilities
08.2012 - 01.2017

Master's - Economics

The University Of Toledo

Master's - Analytics

Capella University

ScrumMaster Certificate And - Project Management Professional (PMP) Certificate

The Computer Workshop
ROBERT WILLOUGHBY