Data Scientist Analyst

Whynjones Mbutu • *** Watercourse Way • Lawrenceville, GA 30046 • 678-***-****

Email: *********@*****.***

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Principal/Lead/Senior Data Scientist, ML Engineer, Senior Data Engineer, Senior Data Analyst DEMONSTRATED AREA OF EXPERTISE

Machine Learning Classification/Regression Statistical Analysis Data Visualization Artificial Intelligence Data Mining/Analysis/Modeling Experimental Design Clustering AWS Certified SAA-C03 SAS Certified Adv. Programmer 9 SQL/SAS/Python/ R Time Series PROFESSIONAL EXPERIENCE

Kaizen Analytix LLC - Atlanta, Georgia Apr 2022 – May 2023 Senior Data Scientist

• Building Machine-Learning and Deep Learning models in a business context using Python, R, and SAS

• Extract, transform, and load data from Snowflake and Google BigQuery using SQL

• Identify how data science can be applied to improve, optimize, and expand the client’s infrastructure across a variety of domains, with emphasis on long-term and strategic initiatives

• Collaborate with our businesses and other stakeholders to develop a strategy that will clearly outline how our enterprise platforms can enable business growth & productivity

• Develop data modeling, mining, pattern analysis, data visualization, and data quality solutions to address customer needs

• Collaborate with the Sales and Marketing Operations teams to innovate and develop scalable solutions across industry challenges

• Identify objective, actionable, and quantifiable progress and outcome measures; track and communicate progress and accomplishments

• Assign priorities and reinforces individual responsibility for each progress measure; communicate the consequences for meeting or not meeting expectations using agile methodology

• Use Tableau desktop/server to create executive dashboards to track business KPI

• Apply standard SDLC process and DevOps including version control (Gitlab/CodeCommit) and CI/CD AT&T – Atlanta, Georgia Jan 2018 – Apr 2022

Senior Advanced Analytics

• Applied statistics-based market intelligence to business issues and formulated recommendations

• Applied critical thinking skills and advanced analytics to solve complex business challenges

• Translate business partner’s needs into data science projects and help prioritize opportunities based on expected business impact and execution complexity

• Drove projects, individually or collaboratively, through the data science lifecycle including data collection, exploration/analysis, model development, validation, and deployment

• Developed presentations to communicate key messages to senior sponsors, non-technical partners, and other stakeholders

• Compiled information and analyzed qualitatively and quantitatively, developing models and conducting follow-up and data verification as needed.

• Created Tableau dashboards and scorecards to communicate actual performance towards vendor goals and corporate finance plan of record.

• Applied statistics methodology to build models and predict business outcomes and explain data/results analytically.

• Explored data using statistical techniques to uncover patterns, trends, correlations, insights, and descriptive statistics.

• Participating as a project team member in cross-department and cross-channel improvement projects.

• Utilized analytical tools such as SAS, Python, R, Tableau, and strong database skills (SQL) to extract, transform, and consolidate data inputs proactively to build and improve models.

• Consulted with decision makers and senior leadership regarding strategic research, planning and analysis, forecasting, providing insight, knowledge, and understanding of business, products, and industry

• Utilized statistical analysis, predictive modeling, data visualization, variation analysis, and performance benchmarking techniques to establish reports and inform strategic decision-making for leadership and related groups Whynjones Mbutu • 752 Watercourse Way • Lawrenceville, GA 30046 • 678-***-**** Email: *********@*****.***

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COX Automotive – Atlanta, Georgia Jun 2015 – Jan 2018 Data Scientist – Data Solutions

• Explored and understand data, build advanced analytical models, and presented models results to any level of audience

• Designed and validated models using regression analysis (linear, classification, and non-linear regression)

• Independently identified and defined required data; collaborate with information technology, colleagues, business owners, approved third-party vendors, and other stakeholders in acquiring and understanding the data used to support mathematical models.

• Identified, understand, and evaluated new commerce analytic and data technologies to determine the effectiveness of the solution and its feasibility of integration with the company’s current platforms.

• Verified, validated, and tested models for accuracy, adequacy, and relevance in solving business problems; reformulated models as needed to meet changing business requirements.

• Communicated findings to team and leadership to ensure successful implementation of projects into business processes.

• Manipulated data using SAS/SQL, Hadoop (Hive, Hue), MS Access, and Excel

• Analyzed large-scale data using SAS procedures, SQL, Python, and R

• Performed statistical analysis using SAS (Windows and Linux platforms), Python, and R IBM Corporation – Atlanta, Georgia Apr 2014 – Feb 2015 Data Scientist

• Created queries to extract and analyze data primarily from Marketing Development and Insights (MDI) financial databases

• Compiled and manipulated data from the MDI data warehouse using SAS, SQL, MS Access, and Excel

• Performed qualitative and quantitative analysis techniques to analyze and evaluate data using advanced SQL query and SAS macro

• Created advanced and complex SQL queries to retrieve data from MDI data warehouse for regular and ad hoc projects

• Coded, tested, and created new tables that are used to generate reports and ad-hoc analyses

• Collaborated with Marketing managers/analysts to ensure reports and analyses meet objectives

• Constructed and tuned raw data into usable formats for MDI segment advisors using stored procedure

• Conducted data analysis, data mining, and reporting for MDI stakeholders

• Updated existing tables with new monthly and quarterly financial data from (MDI) data warehouse

• Created interactive analytics visualization using Tableau Desktop AON Hewitt (Hewitt Associates) – Atlanta, Georgia Feb 2011 – Apr 2014 Software Engineer

ACCENTURE – Atlanta, Georgia Oct 2007 – Feb 2011

Software Engineer

Technical Skills

Visual Basic, Visual Studio .NET, Java, HTML, CSS, JavaScript, VBScript, and Linux/UNIX Scripting

Microsoft Office 365 (Word, Excel, Access, PowerPoint) and MS Visio

Oracle (PL/SQL), MS Server 2005/2008, DB2, and Tableau Desktop/Server

Teradata (BTEQ, FastLoad, Multi-Load), Vertica, Netezza, and Hadoop (Hive, Hue)

SAS Store Process, SAS/Base, SAS/Stat, SAS/ACCESS, SAS/SQL, and SAS/Macro

SAS Viya, SAS Enterprise Miner/Guide, R, Python, PySpark, Spark SQL, and Machine Learning (ML/AI)

SAS Certified Base Programmer and Certified Advanced Programmer for SAS 9

AWS Certified Cloud Practitioner (CLF) and AWS Certified Solutions Architect - Associate (SAA)

Google Suite, GCP BigQuery, SQL (ANSI), JIRA, and Snowflake EDUCATION

Kennesaw State University - Kennesaw, Georgia May 2014 MSc in Applied Statistics

Newman University - Wichita, Kansas Dec 2004

BSc in Management Information Systems, Minor in Computer Information Systems

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