Summary
Overview
Work History
Education
Skills
Websites
Timeline
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Akeeme Black

New York

Summary

Data professional skilled in developing robust data engineering solutions, automating complex pipelines, and enabling advanced analytics workflows. Proven expertise in driving efficiency, optimizing data platforms, and delivering actionable insights.

Overview

6
6
years of professional experience

Work History

Data Scientist, CIO AI & Automation Data Platform

IBM
05.2024 - Current
  • Facilitated data migration and onboarding onto IBM Watsonx.data, assisting application teams by translating and optimizing complex data queries, significantly accelerating platform adoption and ease of use.
  • Designed and deployed custom CI/CD pipelines leveraging Spark, Tekton, Iceberg, Kubernetes, and Poetry, automating critical data-lake operations such as Spark SQL validation, Iceberg DDL checks, automated table creation, and schema management, dramatically improving workflow efficiency.
  • Developed a robust DDL parsing and transformation engine within the CI/CD pipeline, automating schema compatibility adjustments for Spark and Iceberg; implemented automated handling of complex ALTER statements, substantially reducing manual effort and deployment errors.
  • Conducted vulnerability management initiatives, systematically identifying, analyzing, and remediating security vulnerabilities in data pipelines, ensuring consistent compliance, stability, and security of deployed solutions.

Data Engineer, CIO Hybrid Cloud Platforms

IBM
06.2023 - 05.2024
  • Administered and optimized high-volume IBM DB2 databases, ensuring robust performance, data integrity, and reliability for migration analytics at scale.
  • Developed a centralized Python library hosted on IBM Cloud Object Storage, enabling streamlined code reuse across teams; managed efficient deployments via PyPI, significantly reducing redundant development effort.
  • Built and deployed an internal chatbot leveraging IBM Watsonx Assistant, automating frequent inquiries, trained from existing technical documentation; substantially reduced manual support workload and accelerated response times.
  • Implemented comprehensive CI/CD pipelines automating ETL workflows, enhancing reliability, accuracy, and efficiency through continuous integration, automated testing, and deployment.

Data Scientist/Engineer Intern, CIO Hybrid Cloud

IBM
05.2021 - 06.2023
  • Queried data from various warehouses, automated ETL and analytical processes, then created dashboards to give upper management a deeper, more concise understanding of how app teams use IBM's Hybrid Cloud Platforms, leading to better data driven decisions
  • Implemented a cost-efficient metric point system to track and award application teams based on proper usage of Cloud Platforms, which led to a ~20% increase in cluster efficiency and reduced irresponsible behaviors in applications
  • Beta tested new infrastructure to ensure proper performance and ease of access for application teams on launch, this greatly depleted the number of bugs and errors an app team typically encountered
  • Assisted in the creation of a technical guide to effectively communicate proper usage of our Hybrid Cloud Platform
  • Leveraged Docker to containerize proof of concept applications onto OpenShift for documentation, diminishing the number of questions received from app teams by ~40%
  • Deployed and maintained a containerized analytics environment (Superset) on Red Hat OpenShift Virtualization, enabling self-service analytics and visualization for internal stakeholders.

Data Scientist/Engineer Intern, CIO Hybrid Cloud Platforms - Team Leader

IBM
02.2021 - 05.2021
  • Analyzed logs from hundreds of Linux based machines
  • Appointed team leader to lead and orchestrate tasks for other interns
  • Leveraged data to broadcast patterns of underutilized reserved server resources to upper management, which led to IBM efficiently rerouting unused resources and maximizing profits
  • Earned 9 digital credentials and certificates which helped advance my knowledge and improve the quality of my work

Full-Stack Software Engineer Intern, Blockchain

IBM
06.2019 - 08.2019
  • Integrated the Hyperledger Fabric command line interface to interact with hosted blockchain network components
  • Utilized JavaScript and TypeScript to develop a command-line interface (CLI) that leverages Hyperledger Fabric components to install, instantiate, and invoke smart contracts onto IBM's Blockchain Platform (IBPv2)
  • Architected an automated deployment pipeline to configure, build, and deploy chain code onto an IBM Blockchain Platform instance which led to a ~25% reduction in deployment time
  • Awarded Intern of the Week, which is given to two interns nominated by their managers' who portrayed outstanding work ethic and great work quality
  • Displayed exceptional ability to quickly grasp and understand new methods by learning TypeScript
  • Demonstrated eagerness and capacity to learn by completing company learning courses to earn numerous digital credentials

Education

Bachelor of Arts - Computer Science

CUNY Hunter College
Manhattan, NY
05.2023

Associate in Applied Sciences (AAS) - Computer System Technology

CUNY New York City College of Technology
Brooklyn, NY
12.2020

Skills

  • C
  • Python
  • Java
  • C#
  • GoLang
  • Pandas
  • Seaborn
  • Docker
  • Sci-kit Learn
  • IBM DB2
  • PSQL
  • MongoDB
  • REST APIs
  • RHEL
  • Linux
  • Tekton
  • CICD
  • Apache Spark
  • Apache Iceberg
  • Presto

Timeline

Data Scientist, CIO AI & Automation Data Platform

IBM
05.2024 - Current

Data Engineer, CIO Hybrid Cloud Platforms

IBM
06.2023 - 05.2024

Data Scientist/Engineer Intern, CIO Hybrid Cloud

IBM
05.2021 - 06.2023

Data Scientist/Engineer Intern, CIO Hybrid Cloud Platforms - Team Leader

IBM
02.2021 - 05.2021

Full-Stack Software Engineer Intern, Blockchain

IBM
06.2019 - 08.2019

Associate in Applied Sciences (AAS) - Computer System Technology

CUNY New York City College of Technology

Bachelor of Arts - Computer Science

CUNY Hunter College

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