Jimmy Hendricks Email & Phone Number

Atlanta, Ga, Us

Atlanta, Ga, Us

Richfield, Minnesota, Us

Atlanta, Ga, Us

Atlanta, Ga, Us

Reporting to the Senior Vice President of Analytics and Data Science with a 35-person domestic and offshore team, responsible for providing leadership to a Director of India Data Science and BI, a Director of US Analytics Operations, a Director of US Data Science, and a Manager of BI as direct reports.• Refined the deep learning automated data cleaning platform built with Tensor Flow and Python, now classifying millions of strings per hour, to achieve 99% merchant transaction string attribution and location accuracy.- Led the development and implementation of a Purchase Graph capability using 3rd party data sources.- Containerized the entire solution with a Docker Framework with a REST interface with a GPU-based, Kubernetes cluster to work within the engineering Kafka Data Pipeline. • Developed and implemented a series of Automated Web Scrapers built with Selenium and Python designed to gather, process, and match merchant location data to the merchant location database. - Reduced the time to scrape and update location data for a retailer with more than 10k locations from two weeks of campaign operations analyst time down to 30-minutes without any analyst input.• Reorganized the mid-level management team to operate with greater autonomy, flexibility, and agility. • Earned executive approval then led the planning, recruiting, onboarding, training, and ongoing development of a 10-person of shore data science team based in India over the course of 6 months. AREAS OF EXPERTISE AND TECHNOLOGY PROFILEMachine Learning | Artificial Intelligence | Data Science | Data Infrastructure | Data Processing | MapReduce | MapR | Hadoop | Hadoop Cluster Google | Microsoft | Amazon Web Services | Cloud Services | Linux | BigQuery | BigTable | Structured Data | Unstructured Data | Data Lake Data Warehouse | Enterprise Reporting | Business Intelligence | SSRS | Centos | Apache | Spark | Kafka | JetBrains | IntelliJ | .NET | Python Atlassian | Stash | Git | Ansible |

Atlanta, Ga, Us

Reporting to the Vice President of Analytics and Data Science, responsible for leading a 24-person team with the Directors and Managers of Data Science, Data Operations, Business Intelligence and Merchant Cleaning as direct reports. • Built from the ground up an Automated Data Cleaning platform using Fuzzy Matching designed to identify the brand and transaction location data from an individual Merchant Transaction String with a $500k budget.- With a 6-month legacy merchant string cleaning backlog and a 2-week average reporting turnaround time, worked through the process of refining the transaction string cleaning process to improve task efficiency. - Completed the architecture, testing, and implementation of the Deep Learning, high volume classifier coupled with a cosine similarity based fuzzy match recommender running in a docker container. - Within 90 days, worked through the entire merchant string cleaning backlog then achieved and maintained zero backlog as well as 24-hour turn around time on all priority reporting requests. • After implementing and refining the Automated Data Cleaning Platform, created a TensorFlow MLP Neural Network designed to more closely model offer redemption curves with second stare regression MLP capabilities.• Based on the success of the Automated Cleaning Platform and the TensorFlow based redemption modeling capability, extended the platforms to accommodate individual location reporting for large enterprise clients. - With the goal of achieving 80% location accuracy reporting on all merchant transaction strings, used Python and a .NET web-based architecture to create an application that would efficiently identify and redistribute undetermined transaction locations to the location analytics team.- Achieved 98% location billing accuracy, enabling substantially increased advertising spend from companies like Starbucks, McDonalds, Hilton Hotels, and Marriott.

Atlanta, Ga, Us

Reporting to the Vice President of Data Science, led the development of the enterprise campaign forecasting system while providing leadership to a team of two Data Scientists, a Senior Analyst, and the BI Development Group. • Led the architecture design, development, testing, implementation, and end user training of an Advertising Production Forecasting Application starting with a Vertica and SQL based data pipeline, followed by a SciPy based nonlinear regression modeling environment, and a dynamic Tableau based dashboard and reporting capability. - With the profitability of the advertising business dependent on accurate mid campaign projections, tasked with creating a means to accurately measure advertising campaign progress and make leading decisions with lagging and incomplete transaction and bank advertising data feeds mid campaign. - The production system ultimately achieved and maintained a mid-campaign predictive forecasting accuracy within 1-1.5% of actuals, enabling the business to meet the SLAs required to offer larger ad spend options. AREAS OF EXPERTISE AND TECHNOLOGY PROFILEData Processing | MapReduce | MapR | Hadoop | Hadoop Cluster Google | Microsoft | Amazon Web Services | Cloud Services | Linux | BigQuery | BigTable | Structured Data | Unstructured Data | Data Lake Data Warehouse | Enterprise Reporting | Business Intelligence | SSRS | Centos | Apache | Spark | Kafka | JetBrains | IntelliJ | .NET | Python Atlassian | Stash | Git | Ansible | Chef | Predictive Analytics | Vertica | SQL | SQL Server | SciPy | Data Modeling | Regression Analysis | Cosine Similarity | Tableau | Dashboard | Windows Server | TensorFlow | Machine Learning | MLP | Neural Network | Fuzzy Logic | Fuzzy Match | Docker | Selenium | Kafka Data Pipeline | Octopus | Continuous Integration | Continuous Deployment | CI/CD | DevOps | Deployment Operations Anaconda | Jupyter Notebook | MS Visual Code | Linux | Elasticsearch | Solr | Lucene Search

Atlanta, Ga, Us

Reporting to the Vice President of Engineering, responsible for the design, implementation, and end user training of a more cost-efficient AI/ML based merchant data cleaning platform using MapR, Hadoop, and Apache Spark ML. • With the strategic objective of reducing the cost of merchant data cleaning operations, led the transition to a pay as you go AWS environment, away from high cost outsourced MapR Infrastructure and Administrators. - Designed and implemented a transaction classification system using Apache Spark ML v1.6.1 and v2.0.2. - Established Hadoop clusters on Centos v6.7 to run Mapr v5.1, then implemented Elastic Search system wide.- Used a JetBrains IntelliJ development environment with Scala and Spark to develop the new application. • Led the implementation of the Atlassian Stash Git repository then created configuration and deployment recipes using Ansible and Implementation processes using Octopus. AREAS OF EXPERTISE AND TECHNOLOGY PROFILEMachine Learning | Artificial Intelligence | Data Science | Data Infrastructure | Data Processing | MapReduce | MapR | Hadoop | Hadoop Cluster Google | Microsoft | Amazon Web Services | Cloud Services | Linux | BigQuery | BigTable | Structured Data | Unstructured Data | Data Lake Data Warehouse | Enterprise Reporting | Business Intelligence | SSRS | Centos | Apache | Spark | Kafka | JetBrains | IntelliJ | .NET | Python Atlassian | Stash | Git | Ansible | Chef | Predictive Analytics | Vertica | SQL | SQL Server | SciPy | Data Modeling | Regression Analysis | Cosine Similarity | Tableau | Dashboard | Windows Server | TensorFlow | Machine Learning | MLP | Neural Network | Fuzzy Logic | Fuzzy Match | Docker | Selenium | Kafka Data Pipeline | Octopus | Continuous Integration | Continuous Deployment | CI/CD | DevOps | Deployment Operations Anaconda | Jupyter Notebook | MS Visual Code | Linux | Elasticsearch | Solr | Lucene Search

Memphis, Tn, Us

Reporting to the IT Director, responsible for the architecture, implementation, and user training of a scalable enterprise data processing platform using Hadoop and MapReduce on Linux servers designed to reduce mainframe operating costs, increase systems availability, and expand enterprise reporting, analytics, and insights capabilities across the enterprise. • Led the research, strategy, and systems architecture design process starting with a deep dive into the practical applications of Google’s MapReduce, BigQuery, and BigTable research papers then worked with Doug Cunning at Cloudera to implement Spark Machine Learning for predictive science in a distributed Hadoop cluster environment. - Implemented MapReduce to segregate, clean, and transform 4TB of unstructured, semi-structured, and uncleaned data per day into the appropriate format to be loaded into the Data Warehouse / Data Lake. - Achieved a reduction in EDW downtime from 60% down to 20% at a total cost of $150k per year. • Created thorough documentation of AutoZone’s enterprise data management system’s operational procedures, then trained the Analysts, Data Scientists, Administrators, and Infrastructure engineers on system best practices.AREAS OF EXPERTISE AND TECHNOLOGY PROFILEBigQuery | BigTable | Structured Data | Unstructured Data | Data Lake Data Warehouse | Enterprise Reporting | Business Intelligence | SSRS | Centos | Apache | Spark | Kafka | JetBrains | IntelliJ | .NET | Python Atlassian | Stash | Git | Ansible | Chef | Predictive Analytics | Vertica | SQL | SQL Server | SciPy | Data Modeling | Regression Analysis | Cosine Similarity | Tableau | Dashboard | Windows Server | TensorFlow | Machine Learning | MLP | Neural Network | Fuzzy Logic | Fuzzy Match | Docker | Selenium | Kafka Data Pipeline | Octopus | Continuous Integration | Continuous Deployment | CI/CD | DevOps | Deployment Operations Anaconda | Jupyter Notebook | MS Visual Code | Linux | Elasticsearch | Solr | Lucene Search

Memphis, Tn, Us

IT Quality ManagerAREAS OF EXPERTISE AND TECHNOLOGY PROFILEMachine Learning | Artificial Intelligence | Data Science | Data Infrastructure | Data Processing | MapReduce | MapR | Hadoop | Hadoop Cluster Google | Microsoft | Amazon Web Services | Cloud Services | Linux | BigQuery | BigTable | Structured Data | Unstructured Data | Data Lake Data Warehouse | Enterprise Reporting | Business Intelligence | SSRS | Centos | Apache | Spark | Kafka | JetBrains | IntelliJ | .NET | Python Atlassian | Stash | Git | Ansible | Chef | Predictive Analytics | Vertica | SQL | SQL Server | SciPy | Data Modeling | Regression Analysis | Cosine Similarity | Tableau | Dashboard | Windows Server | TensorFlow | Machine Learning | MLP | Neural Network | Fuzzy Logic | Fuzzy Match | Docker | Selenium | Kafka Data Pipeline | Octopus | Continuous Integration | Continuous Deployment | CI/CD | DevOps | Deployment Operations Anaconda | Jupyter Notebook | MS Visual Code | Linux | Elasticsearch | Solr | Lucene Search

Memphis, Tn, Us

Senior Programmer AnalystAREAS OF EXPERTISE AND TECHNOLOGY PROFILEMachine Learning | Artificial Intelligence | Data Science | Data Infrastructure | Data Processing | MapReduce | MapR | Hadoop | Hadoop Cluster Google | Microsoft | Amazon Web Services | Cloud Services | Linux | BigQuery | BigTable | Structured Data | Unstructured Data | Data Lake Data Warehouse | Enterprise Reporting | Business Intelligence | SSRS | Centos | Apache | Spark | Kafka | JetBrains | IntelliJ | .NET | Python Atlassian | Stash | Git | Ansible | Chef | Predictive Analytics | Vertica | SQL | SQL Server | SciPy | Data Modeling | Regression Analysis | Cosine Similarity | Tableau | Dashboard | Windows Server | TensorFlow | Machine Learning | MLP | Neural Network | Fuzzy Logic | Fuzzy Match | Docker | Selenium | Kafka Data Pipeline | Octopus | Continuous Integration | Continuous Deployment | CI/CD | DevOps | Deployment Operations Anaconda | Jupyter Notebook | MS Visual Code | Linux | Elasticsearch | Solr | Lucene Search

Integrated Warehouse Management Applications for warehouse operations company. Designed RF network and application integration. Developed data integration to legacy OS390 mainframe.AREAS OF EXPERTISE AND TECHNOLOGY PROFILEMachine Learning | Artificial Intelligence | Data Science | Data Infrastructure | Data Processing | MapReduce | MapR | Hadoop | Hadoop Cluster Google | Microsoft | Amazon Web Services | Cloud Services | Linux | BigQuery | BigTable | Structured Data | Unstructured Data | Data Lake Data Warehouse | Enterprise Reporting | Business Intelligence | SSRS | Centos | Apache | Spark | Kafka | JetBrains | IntelliJ | .NET | Python Atlassian | Stash | Git | Ansible | Chef | Predictive Analytics | Vertica | SQL | SQL Server | SciPy | Data Modeling | Regression Analysis | Cosine Similarity | Tableau | Dashboard | Windows Server | TensorFlow | Machine Learning | MLP | Neural Network | Fuzzy Logic | Fuzzy Match | Docker | Selenium | Kafka Data Pipeline | Octopus | Continuous Integration | Continuous Deployment | CI/CD | DevOps | Deployment Operations Anaconda | Jupyter Notebook | MS Visual Code | Linux | Elasticsearch | Solr | Lucene Search

Managed Boston and Memphis Operations for a reverse logistics company servicing major retail and PC manufacturers. Opened the Memphis depot handling budget, staffing, and process. Managed the IT group for the company. AREAS OF EXPERTISE AND TECHNOLOGY PROFILEMachine Learning | Artificial Intelligence | Data Science | Data Infrastructure | Data Processing | MapReduce | MapR | Hadoop | Hadoop Cluster Google | Microsoft | Amazon Web Services | Cloud Services | Linux | BigQuery | BigTable | Structured Data | Unstructured Data | Data Lake Data Warehouse | Enterprise Reporting | Business Intelligence | SSRS | Centos | Apache | Spark | Kafka | JetBrains | IntelliJ | .NET | Python Atlassian | Stash | Git | Ansible | Chef | Predictive Analytics | Vertica | SQL | SQL Server | SciPy | Data Modeling | Regression Analysis | Cosine Similarity | Tableau | Dashboard | Windows Server | TensorFlow | Machine Learning | MLP | Neural Network | Fuzzy Logic | Fuzzy Match | Docker | Selenium | Kafka Data Pipeline | Octopus | Continuous Integration | Continuous Deployment | CI/CD | DevOps | Deployment Operations Anaconda | Jupyter Notebook | MS Visual Code | Linux | Elasticsearch | Solr | Lucene Search

Managed 13 repair technicians doing component level repair of computer parts and peripherals. Provided Sales Engineering for both pre-sales and post-sales cycles. Conducted pricing analysis and operational data monitoring. AREAS OF EXPERTISE AND TECHNOLOGY PROFILEMachine Learning | Artificial Intelligence | Data Science | Data Infrastructure | Data Processing | MapReduce | MapR | Hadoop | Hadoop Cluster Google | Microsoft | Amazon Web Services | Cloud Services | Linux | BigQuery | BigTable | Structured Data | Unstructured Data | Data Lake Data Warehouse | Enterprise Reporting | Business Intelligence | SSRS | Centos | Apache | Spark | Kafka | JetBrains | IntelliJ | .NET | Python Atlassian | Stash | Git | Ansible | Chef | Predictive Analytics | Vertica | SQL | SQL Server | SciPy | Data Modeling | Regression Analysis | Cosine Similarity | Tableau | Dashboard | Windows Server | TensorFlow | Machine Learning | MLP | Neural Network | Fuzzy Logic | Fuzzy Match | Docker | Selenium | Kafka Data Pipeline | Octopus | Continuous Integration | Continuous Deployment | CI/CD | DevOps | Deployment Operations Anaconda | Jupyter Notebook | MS Visual Code | Linux | Elasticsearch | Solr | Lucene Search

Managed technical repair operations for a PC and electronics repair facility providing repair and logistics services for major field service companies. Managed 163 engineers and technicians. Provided operational reporting and analysis to management. AREAS OF EXPERTISE AND TECHNOLOGY PROFILEMachine Learning | Artificial Intelligence | Data Science | Data Infrastructure | Data Processing | MapReduce MapR | Hadoop | Hadoop Cluster Google | Microsoft | Amazon Web Services | Cloud Services | Linux | BigQuery | BigTable SSRS | Centos | Apache | Spark | Kafka Atlassian | Stash | Git | Ansible | Chef | Predictive Analytics | Vertica | SQL | SQL Server | SciPy | Data Modeling | Regression Analysis | Cosine Similarity | Tableau | Dashboard | Windows Server | TensorFlow | Machine Learning | MLP | Neural Network | Fuzzy Logic | Fuzzy Match | Docker | Selenium | Kafka Data CI/CD | DevOps | Deployment Operations Anaconda | Jupyter Notebook | MS Visual Code | Linux | Elasticsearch | Solr | Lucene Search AREAS OF EXPERTISE AND TECHNOLOGY PROFILEMachine Learning | Artificial Intelligence | Data Science | Data Infrastructure | Data Processing | MapReduce | MapR | Hadoop | Hadoop Cluster Google | Microsoft | Amazon Web Services | Cloud Services | Linux | BigQuery | BigTable | Structured Data | Unstructured Data | Data Lake Data Warehouse | Enterprise Reporting | Business Intelligence | SSRS | Centos | Apache | Spark | Kafka | JetBrains | IntelliJ | .NET | Python Atlassian | Stash | Git | Ansible | Chef | Predictive Analytics | Vertica | SQL | SQL Server | SciPy | Data Modeling | Regression Analysis | Cosine Similarity | Tableau | Dashboard | Windows Server | TensorFlow | Machine Learning | MLP | Neural Network | Fuzzy Logic | Fuzzy Match | Docker | Selenium | Kafka Data Pipeline | Octopus | Continuous Integration | Continuous Deployment | CI/CD | DevOps | Deployment Operations Anaconda | Jupyter Notebook | MS Visual Code | Linux | Elasticsearch | Solr | Lucene Search

Managed computer sales and service retail company. Sold PC based computer solutions and Novel networking. AREAS OF EXPERTISE AND TECHNOLOGY PROFILEMachine Learning | Artificial Intelligence | Data Science | Data Infrastructure | Data Processing | MapReduce | MapR | Hadoop | Hadoop Cluster Google | Microsoft | Amazon Web Services | Cloud Services | Linux | BigQuery | BigTable | Structured Data | Unstructured Data | Data Lake Data Warehouse | Enterprise Reporting | Business Intelligence | SSRS | Centos | Apache | Spark | Kafka | JetBrains | IntelliJ | .NET | Python Atlassian | Stash | Git | Ansible | Chef | Predictive Analytics | Vertica | SQL | SQL Server | SciPy | Data Modeling | Regression Analysis | Cosine Similarity | Tableau | Dashboard | Windows Server | TensorFlow | Machine Learning | MLP | Neural Network | Fuzzy Logic | Fuzzy Match | Docker | Selenium | Kafka Data Pipeline | Octopus | Continuous Integration | Continuous Deployment | CI/CD | DevOps | Deployment Operations Anaconda | Jupyter Notebook | MS Visual Code | Linux | Elasticsearch | Solr | Lucene Search

Washington, Dc, Us

Engineering department member of the US Navy Forces afloat aboard the USS Greenling and the USS Nevada.AREAS OF EXPERTISE AND TECHNOLOGY PROFILEMachine Learning | Artificial Intelligence | Data Science | Data Infrastructure | Data Processing | MapReduce | MapR | Hadoop | Hadoop Cluster Google | Microsoft | Amazon Web Services | Cloud Services | Linux | BigQuery | BigTable | Structured Data | Unstructured Data | Data Lake Data Warehouse | Enterprise Reporting | Business Intelligence | SSRS | Centos | Apache | Spark | Kafka | JetBrains | IntelliJ | .NET | Python Atlassian | Stash | Git | Ansible | Chef | Predictive Analytics | Vertica | SQL | SQL Server | SciPy | Data Modeling | Regression Analysis | Cosine Similarity | Tableau | Dashboard | Windows Server | TensorFlow | Machine Learning | MLP | Neural Network | Fuzzy Logic | Fuzzy Match | Docker | Selenium | Kafka Data Pipeline | Octopus | Continuous Integration | Continuous Deployment | CI/CD | DevOps | Deployment Operations Anaconda | Jupyter Notebook | MS Visual Code | Linux | Elasticsearch | Solr | Lucene Search

Dba

Master Of Business Administration (Mba), Technology Management

Bsb/Is, Information Science/Studies