Germantown, MD ***** 301-***-**** ad2ij4@r.postjobfree.com WWW: linkedin.com/in/siaka-karl WWW: https://github.com/theabstact237

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KARL SIAKA

PROFESSIONAL SUMMARY

To seek and maintain the full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills.

SKILLS

●UNIX System

●A/B Testing

●Project Management

●Data Modeling

●Report Writing

●Database Programming and SQL

●Tableau

●Git

●Software Development Life Cycle (SDLC)

●Search Engine Optimization

●Python

●Excel

WORK HISTORY

DATA ANALYST 11/2022 to Current

Wine & Organic, Washington D.C

●Build basic ETL process that ingested transactional and event data from a web app with 500 daily transaction that made over $175000 annually

●Produced monthly reports using CSV and advanced E.D.A(exploratory data analysis) python libraries like Panda, matplotlib and numpy.

●Identified, analyzed and interpreted trends or patterns in complex data sets.

●Created various Excel documents to assist with pulling metrics data and presenting executive summaries to stakeholders for concise explanations of best placement for needed resources.

●Utilized data visualization tools to effectively communicate business insights.

●Participated in requirements meetings to understand business needs.

●Produced monthly reports using advanced Excel spreadsheet functions.

DATA ENGINEER 10/2021 to 07/2022

CemacPay, Remote

●Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.

●Designed compliance frameworks for multi-site data warehousing efforts to verify conformity with state and federal data security guidelines.

●Generated detailed studies on potential third-party data handling solutions, verifying compliance with internal needs and stakeholder requirements.

●Built databases and resources (load balancer,back-up recovery) on Azure microsoft cloud.

EDUCATION

Amazon, Online

Certification, AWS Cloud Practitioner, Expected in 01/2024

●The AWS Certified Cloud Practitioner certification is designed for individuals with a basic understanding of the AWS Cloud and foundational knowledge of its services.

●It is intended for individuals in technical and non-technical roles who want to validate their overall understanding of the AWS Cloud.

2. Key Concepts Covered:

●Cloud Concepts: Understanding the AWS global infrastructure.

Grasping the basic architectural principles of the AWS Cloud.

●Security and Compliance: Identifying AWS shared responsibility model.

Understanding AWS Cloud security best practices.

●Technology: Recognizing basic AWS Cloud architectural principles.

Understanding AWS Cloud value proposition.

●Billing and Pricing: Understanding AWS Cloud economics.

Identifying key services and their use cases.

3. Preparation Resources:

●AWS provides official documentation and whitepapers.

●Online training courses and practice exams.

●Hands-on labs and interactive learning experiences.

Coursera, Online

Certification, Certification in Google Advanced Data Analytics, 09/2020

●The certification exam typically consists of multiple-choice questions and scenario-based case studies.

●Candidates are evaluated on their ability to design and build data processing systems, operates machine learning models, and ensure reliability and scalability of solutions.

●Designing Data Processing Systems: Understanding business requirements and designing data processing systems that meet those requirements.

Selecting appropriate storage systems and data processing technologies on GCP.

Designing for security and compliance.

●Building and Operates Data Processing Systems: Building and maintaining data structures and databases.

Developing data processing systems with a focus on scalability, efficiency, and maintainability.

Implementing machine learning models for analysis and production.

●Ensuring Reliability of Data Processing Systems: Monitoring, troubleshooting, and optimizing data processing systems.

Managing and ensuring the availability and reliability of datasets used for analysis.

●Deploying and Implementing Machine Learning Models: Understanding machine learning workflows and deploying models into production.

Integrating Google Cloud Machine Learning APIs into data processing systems.

●BigQuery: Google Cloud's fully-managed, serverless data warehouse for analytics.

●Dataflow: A fully-managed stream and batch processing service.

●Data Preparation: A service for cleaning, enriching, and transforming raw data into a more structured and usable format.

●Cloud Storage: Object storage that can be used for a variety of data storage needs.

●Pub/Sub: A messaging service for building event-driven systems.

●Machine Learning on GCP: Understanding of how to use and integrate GCP's machine learning services.

●Google Cloud provides official documentation, guides, and hands-on labs.

●Online courses and training programs offered by Google Cloud.

●Practice exams and sample questions to assess your readiness.

ADDITIONAL INFORMATION

I am Geek who loves to read books, do sorts on his free time and enjoy movie sessions at home.

LANGUAGES

French

Native or Bilingual

English

Full Professional

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