Hannah Gray

Hannah is an experienced Data Scientist with a demonstrated history of working in the Telecommunications and Manufacturing industry. Skilled in Python, R, and SQL Hannah has worked to develop several predictive models utilizing machine learning capabilities. Coupled with her unique experience presenting strategic initiatives to executive leadership, Hannah is a strong addition to any data driven environment. Hannah is a strong analytics professional with a Bachelor of Science Business Administration focused on International Business, Data Analytics and Spanish from University of Denver - Daniels College of Business. She also has strong quantitative skills in econometrics and is working towards her Masters in Global Risk and Economics at Johns Hopkins School of Advanced International Studies. 

GRAYInsight LLC Remote Sole Proprietor/ Business Owner August 2022 ± Present • Provide data analysis and forecast model consulting to executive leaderships teams (CIO, CEO, & SVP) • Develop accurate machine learning models utilizing economic data to forecast future sales and risk outcomes • Analyze global economic data utilizing APIs (FRED, Bloomberg, OECD, Yahoo Finance) to predict future demand Gates Corporation Denver, CO Associate Data Scientist September 2021 ± September 2022 • Developed accurate models to forecast end market sales and company core growth 6 months in advance using python • Presented complex market-based index forecasting on a weekly basis to Executive leadership (CIO, CEO & SVPs) • Supported external teams with ad hoc requests such as report automation in SQL, forecasting and trend analysis Example Projectss: x Index Forecast Model: Created workflow to automate index correlation and internal data to determine lead indicators. Pipeline extracts values from web APIs into Python to calculate financial metrics and correlations. Output of results is then pulled into tableau where end users are able to manipulate aggregate data for personal understanding. x Core Growth Model: Developed regression model utilizing economic indicators to accurately predict corporation core growth 6 months in ahead with R2 0.92 Zayo Group Boulder, CO Data Scientist June 2020 ± September 2021 • Developed and deployed machine learning Churn model in Python from datasets greater than 1 million rows • Present predictive model results directly to Executive leadership • Support 5 teams with analytic reporting and predictive data visualizations requests • Design dashboards in Salesforce¶s TableaX CRM to YisXali]e comple[ data Xtilized by Senior Management • Automate business reporting using SQL, Python, and Openpyxl Example Projects: x Churn Predictor: DeYeloped a deep machine learning model in P\thon to predict an indiYidXal serYice¶s probabilit\ to disconnect in the next 6 months. Initial project requirements involved collaborating with various stakeholders to curate a dataset of unique predicting variables in SQL and testing over 50 model iterations until successful. Business Analyst Intern June 2019 ± June 2020 • Acquired deep knowledge in fiber networks and cloud-based solutions • Analyzed sizable data sets of 100,000+ roZs Xsing E[cel and Salesforce¶s TableaX Anal\tics StXdio

Languages: English (Native), Spanish (Intermediate), Italian (Beginner) Technical Skills: Library Focus: Pandas, Numpy, Matplotlib, Scikit-Learn, Openpyxl, imblearn Languages: Python, SQL, R, Salesforce Analytical Query Language (SAQL) Visualization Tools: Plotly Express, Tableau, Salesforce Einstein Analytics Studio Database Systems: Microsoft SQL Server, PostgreSQL Database Functions: CTE, Window Functions, and Complex Data Transformation Operating Systems: Salesforce, Microsoft Office: Excel, Word, PowerPoint & Access, Google Suite, Altryx