Hello, I'm Abdelfattah Mohamed, a highly skilled and proactive Data Engineer & Analyst with a passion for harnessing data to drive insightful decisions. My journey is marked by diverse experiences and a relentless drive to excel in the world of data.
Key Accomplishments:
Conducted comprehensive analysis of customer needs, designed flow charts, and developed use cases to create business processes that met functional requirements.
Leveraged web scraping techniques to collect real-estate data from various sources and improve data accuracy.
Built chatbots using frameworks such as IBM Watson Assistant, Google Dialog Flow, Twilio, SAP CAI, and AWS Lex, comparing their effectiveness.
Developed an ETL engine to manage chatbot responses, user information, and conversations, with dynamic training data using UI component scripts.
Integrated fallback scenarios into live chats with human agents and third-party apps using Flask and IBM Watson SDK.
Collected historical chat data and generated data clusters for analysis and analytics, showcasing the ability to derive insights and improve business operations.
Utilized Robotic Process Automation (UiPath) to collect and extract data from banking reports and apply data engineering techniques for efficient storage in the warehouse.
Skills & Technologies:
Tools: Informatica, Power BI, Tableau Desktop
Programming: Python, YML, JSON, BASH, Shell Scripting, GIT, GITHUB
Databases: IBM DB2, MS SQL Server, MYSQL, PostgreSQL, AWS S3
Certifications:
AWS Certified Machine Learning Specialty - (MLS-C01) 2022
Udacity Advanced Data Analysis Nanodegree 2020
Huawei Certified ICT Associate – Artificial Intelligence (HCIA-AI) 2021
HCIA - Huawei Cloud Service 2021