Karl Siaka
Germantown,MD
Judge a man by his questions rather than his answers.
Voltaire
Summary
To seek and maintain thefull-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills.
Overview
6
6
years of professional experience
Work History
Data Analyst
Wine & Organic
11.2022 - Current
- 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 librairies 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
CemacPay
10.2021 - 07.2022
- 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
Certification - AWS Cloud Practitioner
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.
- 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.
- AWS provides official documentation and whitepapers.
- Online training courses and practice exams.
- Hands-on labs and interactive learning experiences.
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.
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
Additional Information
I am Geek who loves to read books, run on his free time and enjoy movie sessions at home.
Languages
French
Native or Bilingual
English
Full Professional
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Timeline
Data Analyst - Wine & Organic
11.2022 - Current
Data Engineer - CemacPay
10.2021 - 07.2022
Amazon - Certification, AWS Cloud Practitioner
Coursera - Certification, Certification in Google Advanced Data Analytics
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