Years of
Years of
Years of
Years of
Years of
Years of
Years of
Years of
Years of
Python(Raw & Framework)
90%
PHP(Raw & Framework)
100%
JavaScript(Raw & Framework)
90%
Node.JS(Raw & Framework)
80%
SQL(MariaDB,SQLite)
100%
NoSQL(MongoDB,Redis)
100%
HTML
100%
CSS
80%
Data analysis (Excel , Power BI, Data Validation)
70%
Graph and Chart
100%
Cloud Platforms (AWS, Google Cloud)
60%
Apache Kafka
40%
Machine Learning (Theory)
40%
Data Analyst
60%
Docker
80%
Development Tools
90%
Fintech Media SY Ltd | 1 Jan 2024 – Present
Responsibilities: - Design, develop and execute software solutions to address business issues. - Quality assurance teams, and end-users to create innovative software solutions. - Analyzing users behaviors, payment fraud detection, market predictions, and generating statistical reports
IT Grow division Ltd | 1 Jan 2016 – 30 Dec 2023
Responsibilities: - Led the development of several high-profile web applications using modern technologies. - Implemented and optimized web solutions to enhance user experience and functionality. - Collaborated with cross-functional teams to define project requirements and deliverables. - Conducted rigorous code reviews to uphold industry and organizational standards. - Managed data storage with strategic maintenance and oversight of Linux servers. - Provided mentorship to junior developers, fostering best practices and coding standards.
Google Data Analytics peofessional certificate
Duration: 6 month
- Data Cleaning and Preparation - Data Preprocessing - Data Wrangling for Analysis
1. Finance and Microcredit 2. E-commerce 3. Healthcare and Fitness 4. Education and E-learning 5. Task Management 6. Travel and Hospitality 7. Office management
Python , PHP , XML and JavaScript based API
1. REST API 2. SOAP API 3. Web Socket API 4. Web Storage API 5. OpenAPI (formerly Swagger)
1. Relational Databases (RDBMS) 2. NoSQL Databases 3. In-Memory Databases
Effective schema design and database optimization enhance performance, while proper indexing improves query speed.
I developed two browser addons: one compares product prices from different sources, and the other retrieves discount information from specific e-commerce sites. Both are built with pure JavaScript and Object-Oriented Programming.
1. Professionally, I used MS Excel, Google chart, and High charts for data visualization. 2. In university, for theoretical work and projects, I used Power BI and Tableau.
1. Linux server installation, configuration, and maintenance (CentOS and Ubuntu). 2. Web server setup, Git,SVN and mail server setup, configuration, and maintenance.