Summary
Overview
Work History
Education
Skills
Timeline
Generic

Drew Nunnally

Houston, Texas

Summary

Data Scientist with dual expertise in Finance (MS, Tulane University) and Data Science (Master’s in progress). Skilled in building predictive models, automating analytics, and delivering interactive dashboards. Adept at translating complex datasets into insights that drive measurable financial and operational outcomes.

Overview

18
18
years of professional experience

Work History

Senior Data Scientist

Jamf
08.2024 - Current
  • Built and maintained forecasting and churn models for SaaS revenue planning, bookings, and renewals, improving accuracy of ARR projections.
  • Designed and deployed interactive Shiny applications to deliver forecasts and financial analyses to executives and finance teams, enabling self-service exploration of ARR, churn, and renewal scenarios.
  • Automated Snowflake SQL pipelines and integrated dbt models, reducing manual reporting effort and increasing data accuracy for FP&A.
  • Developed Excel- and PDF-based forecast reporting workflows using openxlsx and Quarto, supporting both dynamic analysis and executive deliverables.
  • Applied time series and ML methods (Holt’s, Prophet, regression models) to generate confidence-bound forecasts for bookings and renewals.
  • Partnered with Finance leadership to translate data science outputs into actionable insights that supported revenue strategy and board-level reporting.

Founder/CCO

Alpha-Tech Investments
01.2021 - Current
  • This is a passion project of mine that allows me to stay up to date with the industry and continue to hone my financial skills.
  • Developed and optimized predictive models for price movements using Scikit-Learn, XGBoost, and other machine learning tools across multiple time frames (e.g., 5-minute, hourly, daily, monthly), achieving an average RMSE of 2.8 to 3.0. Responsibilities included data cleansing, cross-validation, feature engineering, and hyperparameter tuning.
  • Perform extensive quantitative analysis on historical market data.  Using various methods such as forecasting, regression, and ML prediction to provide investing opportunities that fit investors risk/reward tolerance.

Data Scientist

Arena Energy
04.2023 - 07.2024
  • Developed a bottomhole historical detection algorithm using Change Point Detection, implemented in R and Python. Visualized results within a custom Shiny application to enhance interpretability.
  • Created a Shiny application to compare historical production rates across fields with forecasted type curves, enabling accurate measurement of actuals against forecasts.
  • Designed a Shiny application to evaluate well work jobs, analyzing costs and comparing pre- and post-job BOEPD (Barrels of Oil Equivalent Per Day) to assess effectiveness.
  • Developed a Drilling Cost Dashboard to compare project costs (AFE vs. PFC vs. Booked) across regions, featuring drill-down capabilities to subaccount levels for detailed financial analysis.
  • Created an Operational Performance Dashboard to analyze total rig days, distinguishing between productive and non-productive times, with drill-down functionality into NPT (Non Productive Time) for each rig. Included time series plots to identify and analyze trends over time.
  • Developed an application to audit and analyze PowerBI and SSRS reporting environments, extracting metrics such as most recent access, user view count, top user, and last accessed, to optimize report utilization.

Data Scientist

Prescryptive Health, Inc.
06.2021 - 04.2023
  • Developed a Random Forest model to classify prescription day supply, quantity, and dosage for missing data points received via claims data, achieving 90% accuracy. This model was critical in re-pricing RFPs and improving prescription data accuracy, ultimately benefiting providers.
  • Created a Gradient Boosting model to predict prescription drug prices from claims submitted by patients. Deployed a custom-built Shiny Application for end-user consumption, allowing providers to efficiently access accurate pricing information for patient prescriptions.
  • Built a custom GEO location application using spatial data to find the nearest In-Network pharmacies for patient claims initially filled Out-of-Network. Collected, parsed, and analyzed data to provide optimal pharmacy solutions, enhancing both patient convenience and provider network efficiency.
  • Built a custom ETL data pipeline using Excel, Power Automate, SQL and Power BI, to drive sales and customer retention goals.
  • Performed statistical analysis including Linear/Multi Linear regression, Correlation/Covariance Matrices, Hypothesis Testing.
  • Collaborated with various teams to develop solutions to obtain desired data output by automating data collection processes and increasing data accuracy.

Adv Sr. Systems Analyst

Marathon Oil Corporation
09.2014 - 04.2021
  • Technical point of contact for Corporate Reserves and Planning consisting of managing support and upgrades of various software's and solutions.  Including but not limited to Petrolook, Enersight, & Portfolio Variables.
  • Managed and executed all stages of custom ECM software solutions lifecycle through identifying new service opportunities, analyzing and recommending client requirements, and maintaining consistent communication with internal team members and external consultants. Projects spanned $25K - $5 MM and all completed on time and under budget.
  • Ensured software integration success through effectively managing SAP Invoice Archiving, MRO's Responsible Operations Management System, system integrations and migrations, approval workflow's, Electronic and Physical Object Disposition and Destruction, Maintenance and Reliability Document Management, and Enterprise Scanning Solutions.
  • Collaborated with multiple internal and external stakeholders involved in projects through maintaining constant communication and liaising between end user groups and management including status reports, timeline changes and budget updates.

Senior IT Consultant

Access Sciences
03.2013 - 09.2014
  • Increased usability and security of information access process for multi-billion-dollar energy client through the installation and configuration of OpenText Content Server 10.0.  Adjusted for three environments, Development, Test, and Production, to ensure solution success.
  • Provided high-level customer service through training client OpenText Administrator on Technical and Administrator aspect of OpenText, as well as end-users in basic functionality, to ensure user success and ease of adoption.

Senior IT Consultant

Rowan Companies
01.2012 - 03.2013
  • Executed the successful implementation of OpenText Content Server 10.0 for all global locations including Scotland, Norway, Korea, and Middle East.  Managed all implementation stages including requirement gathering, design, development, system standup, and data migration. Successfully established multiple front ends, admin servers, utility servers, and databases.
  • Oversaw servers and user security administration through Active Directory and OTDS to ensure electronic and physical records accessible to appropriate end users.
  • Enhanced software product deliverables for clients through consistent system upgrades and engaging in future planning to reduce the occurrence of technical challenges.


PM/Senior IT Consultant

Axyon Consulting
01.2008 - 12.2011
  • Implemented and supported OpenText Livelink 9.71 ECM Systems for major global oil, gas, mining, and energy companies, including: Rowan Companies (Aberdeen, Scotland), Barrick Gold Corporation (Johannesburg, South Africa), and Atlantic LNG (Trinidad and Tobago).
  • Forecasted utilization for project resources and kept projects on time and on budget.  Maintained constant communication as a liaison between clients and upper management including status reports and budget projections.

Education

Master of Science - Data Science - AI

Southern Methodist University
Dallas, TX
12-2026

Master of Science - Finance

Tulane University - A.B. Freeman School of Business
New Orleans, LA

Bachelor of Science - Business Management and Information Technology

McNeese State University
Lake Charles, LA

Skills

    Technical Skills

  • Languages: R, Python, SQL
  • ML/AI Frameworks: scikit-learn, XGBoost, Random Forests, Gradient Boosting, tidymodels (R), Prophet, LSTM (keras/torch)
  • Feature Engineering & Model Evaluation: feature engineering; cross-validation; feature selection; hyperparameter tuning
  • Visualization & Apps: Shiny, Tableau, Power BI
  • Data Platforms: Posit Connect, Snowflake, AWS, Azure

    Analytical Skills

  • Forecasting & Time Series Analysis (Holt’s, ARIMA, Prophet, LSTM)
  • Predictive Modeling (classification, regression, clustering)
  • Statistical Analysis (hypothesis testing, ANOVA, regression diagnostics, multicollinearity/VIF checks)
  • Financial Modeling & Quantitative Risk Analysis

Timeline

Senior Data Scientist

Jamf
08.2024 - Current

Data Scientist

Arena Energy
04.2023 - 07.2024

Data Scientist

Prescryptive Health, Inc.
06.2021 - 04.2023

Founder/CCO

Alpha-Tech Investments
01.2021 - Current

Adv Sr. Systems Analyst

Marathon Oil Corporation
09.2014 - 04.2021

Senior IT Consultant

Access Sciences
03.2013 - 09.2014

Senior IT Consultant

Rowan Companies
01.2012 - 03.2013

PM/Senior IT Consultant

Axyon Consulting
01.2008 - 12.2011

Master of Science - Data Science - AI

Southern Methodist University

Master of Science - Finance

Tulane University - A.B. Freeman School of Business

Bachelor of Science - Business Management and Information Technology

McNeese State University

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