Scott Cunningham

323-***-**** ad3q2j@r.postjobfree.com LinkedIn: https://www.linkedin.com/in/scott-cunningham-58717826

Extract transform load, statistical analysis, object-oriented programming, MS degree, BS degree, Big Data, data science, business intelligence, analyst, deep learning, machine learning, structured and unstructured data, predictive models, develop algorithms, data-driven insights, relational databases, logistic regression, data mining, decision tree, ERP, R Studio Summary: Experienced Advanced Analytics Engineer with expertise in machine learning, business intelligence, and data analysis. Skilled in advanced analytics, business intelligence, and data visualization with proficiency in Python, SQL, and Power BI. SKILLS and Software Expertise:

Skills: Machine Learning Engineering, Data Analysis, certified Professional Scrum Master, Data Science, ML Ops, AI, Advanced Analytics, Business intelligence, Power BI dashboard creation and data visualization

& interpretation, ARIMA forecasting, ANOVA, ETL, database administration, multivariate linear & non- linear regression, sensitivity analysis

Software: Python, SQL, Power BI, PySpark, Apache Spark, ML Flow, Jira, Confluence, Alation, DevOps, PostgreSQL, UiPath RPA, C#, Tableau, SAS, SPSS, Visual Basic, Microsoft Excel (formulas, pivot tables, vLookups), Google Collab, Word, PowerPoint, MS Project, MS Visio, Delta View Platforms: Microsoft Azure, Databricks, Snowflake, Sharepoint, Dataiku EDUCATION:

Microsoft Professional Program Certificate in Data Science (2019) Relevant Courses: Applied Machine Learning, Programming with Python for Data Science, Querying Data with T-SQL, Analyzing and Visualizing Data with Power BI California State University, Fullerton (2018): Master of Science, Information Systems – Business Analytics Relevant Courses: Advanced Deterministic Models, Data Mining, Data Warehousing Business Intelligence, Data Transformations, Marketing Analytics, E-Commerce California State University, Fullerton (2016-2017): Bachelor of Science, Decision Sciences - summa cum laude Relevant Courses: Business Intelligence, Applied Forecasting, Project Management, Database Management, Business Analytics, Statistical Spreadsheet Modeling Irvine Valley College, Irvine, CA (2014-2015): AA in Business Administration / Management PROFESSIONAL EXPERIENCE:

Pfizer, New York, NY 10/2023-02/2024

Advanced Analytics Engineer

• Led team of developers as Scrum Master to create interactive Tableau dashboard showing market trends and regional dose counts for pediatric vaccines launching to market. This was a critical insight for Marketing C-suite executives to strategize sales force to target HCPs to optimize ROI. This project became the standard for future dashboard development projects.

• Managed team to recreate Tableau Financial Forecasting dashboard in Power BI to directly compare AI features. This comparison was valuable for Pfizer to leverage in contract negotiations with Tableau. SCAN Health Plan, Long Beach, CA 06/2019-09/2023

Advanced Analytics Engineer

• Developed large-scale Machine Learning Models: Critically participated in entire ML Ops development lifecycle – use case approval, worked with stakeholders for requirements gathering, data discovery, feature and model building, dashboard development, UAT, model deployment and reporting analysis – saving the company $100,000s per year in risk assessment.

• Deployed Machine Learning Models to Production: Managed and maintained production models in Databricks, automated data processing and model scoring in Azure Data Factory, utilized Workflows and Delta Tables. Employed data cleansing and processing pipelines for data visualization in Power BI – a project that streamlined and significantly improved business workflows and efficiencies. Scott Cunningham

323-***-**** ad3q2j@r.postjobfree.com LinkedIn: https://www.linkedin.com/in/scott-cunningham-58717826

Extract transform load, statistical analysis, object-oriented programming, MS degree, BS degree, Big Data, data science, business intelligence, analyst, deep learning, machine learning, structured and unstructured data, predictive models, develop algorithms, data-driven insights, relational databases, logistic regression, data mining, decision tree, ERP, R Studio

• Successful Cloud Migration project to Microsoft Azure: Authored the Technical Design Document for large-scale Health Care Machine Learning predictive classification models. Produced internal ML Development Standards documentation. Created effective training standards for Data Scientists, Data Visualization specialists, and Data Engineers and mentored team members on standards.

• Directed and led weekly meetings between company and vendor engineers to track upgrade projects, process performance improvements, and troubleshoot – minimizing downtime for dashboard users.

• Shifted dashboards from vendor portal to company-wide Power BI Online service with no downtime.

• Regularly presented team capabilities and project results to product managers and stakeholders. The Operating Room Film and Television Productions, Los Angeles, CA 04/2013 – 06/2014 Project Manager

• Project management of team of artists through project development life cycle

• Developed treatment, show reference document for -hour animated sci-fi TV series with Technicolor Daughters of Charity Health System, Pasadena, CA 02/2012 – 03/2013 Executive Assistant to the Vice President of Managed Care and Payor Relations

• Collaborated alongside VP of Operational Finance, Manager of Managed Care Analytics, and Managed Care Financial Analyst to calculate revenue forecasts in Excel U.S. NAVY, Nuclear Electronics Technician - Honorable Discharge: Work Center Supervisor, U.S. Navy, Virginia Beach, VA

• Maintained computer and communications inventory worth over $1,000,000

• Supervised radio, and electronic repairs and achieved 98% reliability on telephone system Naval Nuclear Power School

• 24-week intensive curriculum in 600+ hours of Mathematics, Physics, Reactive Physics, Heat Transfer & Fluid Flow Dynamics, Metallurgy, Electrical Engineering, and Chemistry – required security clearance ACADEMIC PROJECTS & EXPERIENCE: 05/2017 – 12/2018

Data Scientist / Machine Learning Engineer

Created a Deep Learning Convolutional Neural Network for semi-supervised classification of medical x-rays by probability of malignant conditions using Python, Keras, & Google Collab. Used A/B Hypothesis test to establish statistically significant relationship between luminosity and presence of diagnosable conditions on x-rays Business Intelligence Engineer

Constructed Extract Transform Load (ETL) pipeline for deriving insights from 5 years of NYSE data vs. S&P500 for big data sets using PostgreSQL, Excel and R. Optimized financial portfolios for risk assessment and max ROI Data Mining: BI Developer

Provided business intelligence solution for bank term deposit demand prediction. Executed data cleaning in SAS, visualizations in Tableau, and engaged data mining ML algorithms kNN, hierarchical clustering, decision tree, random forest, and logistic regression models using XL Miner for binary customer classification Senior Business Analyst

Predicted NASCAR season winnings using dynamic, non-linear programming regression models. Developed multi-objective predictive models for sensitivity analysis using Holts-Winters adaptive exponential smoothing Database DW/BI Administration

Oversaw data visualizations in Tableau and used MS Visio to engineer snow-flaked star schema for Oncology Dashboard to present doctors with weekly patient condition updates with pertinent KPIs Applied Business Forecasting

Utilized Forecast Pro XE (seasonality, trend, ARIMA) for Time Series, Linear & Non-Linear Forecasting to forecast mobile home sales. Also built dynamic regression algorithm to predict CA AAA service call demand

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