Rimoun George
- 0100 0000 000
- remongeorge24@gmail.com
- Advanced Office Automation
- Alexandria, Egypt
AWS-certified Data Analytics Engineer & Data Scientist with 6+ years of experience designing scalable cloud pipelines (AWS) and machine learning solutions. Proven track record as a Top-Rated Upwork Freelancer, delivering data automation, predictive analytics, and interactive dashboards for 50+ clients across diverse industries. Passionate about transforming raw data into actionable insights to drive business decisions and operational efficiency.
Work Experiences
Freelance AWS Data Analytics Engineer & Data Scientist (Top Rated)
Role description:
- Delivered 50+ data solutions for clients across industries, specializing in AWS cloud infrastructure, analytics pipelines, and machine learning.
Key Contributions:
- Cloud Data Pipeline Development: Built end-to-end AWS data pipelines (IoT Core, Glue, Lambda, Redshift) for 15+ clients, reducing manual data processing time by 40–60%.
Example: Migrated a manufacturing client’s sensor data from email-based workflows to a serverless AWS pipeline (IoT Core → Lambda → Redshift), enabling real-time analytics and reducing latency from 24hrs to <5mins.
- Scalable Analytics & Visualization: Designed interactive QuickSight dashboards for 20+ clients, improving stakeholder decision-making speed by 35% (e.g., sensor calibration insights for an IoT startup).
- Machine Learning Solutions: Developed Python-based ML models (PySpark, SageMaker) for predictive analytics, (e.g., a sensor calibration system that improved data accuracy by 28% for a client).
- Data Optimization & Troubleshooting: Identified and resolved bottlenecks in 10+ client data systems (e.g., misconfigured QuickSight accounts, Glue job inefficiencies), cutting runtime costs by 20–30% on average.
- Client Training & Enablement: Mentored 10+ teams on QuickSight, data wrangling (Pandas), and AWS tools, enabling clients to maintain pipelines independently post-deployment.
Data Automation Specialist
Role description:
- Neural Machine Translation (NMT) System: Developed an NMT system (Python-C#) based on the OpenNMT project, increasing translation process speed by 70%.
HR Automation Tools:
- Designed an HR Letter Maker system (C#), increasing processing speed by 90%.
- Developed a fully automated Appraisal Form system (Excel VBA), achieving 100% automation.
- Ultimate Auto Filler: Created a tool to automatically fill PDF forms from Excel sheets, reducing manual effort by 95%.
Projects
Resume Domain Classification with Mistral-7B Fine-Tuning (Python, Hugging Face, AWS SageMaker)
- Fine-tuned the Mistral-7B LLM to categorize resumes by domain (e.g., engineering, marketing) using transfer learning, achieving a 25% improvement in baseline accuracy despite hardware constraints (low-end GPU optimization).
- Deployed the model as a scalable API for integration into the client’s recruitment workflow, reducing manual screening time by 40%.
- Tools: PyTorch, Transformers library, Pandas for data preprocessing, AWS SageMaker for inference.
- Conducted descriptive and inferential analysis on employees to identify attrition drivers (e.g., tenure, role).
- Built a predictive model (Linear Regression) forecasting employee service periods with 88% accuracy, enabling proactive recruitment planning for “hot” roles.
- Delivered interactive QuickSight dashboards to visualize attrition trends, reducing time-to-insight for HR teams by 30%.
- Outcome: The client reduced unexpected talent gaps by 25% within 6 months of implementation.
Custom Web Dashboard
- Developed an interactive web dashboard using Django (backend) and Plotly (visualization) for a client, providing tailored data insights.
- Reduced manual data integration to 100%.