Dr. Zakieh Sharifian

Senior Data Analyst | Data Engineering | Financial Projects Developed and maintained Power BI dashboards, delivering critical insights to support strategic decisions, with a focus on financial projects. Enhanced data processing efficiency through advanced data modeling, DAX optimization, and Microsoft Fabric integration. Designed and implemented a suite of Power BI reports to improve data-driven decision-making across business functions. Led data engineering efforts, leveraging SQL and PySpark to build sca

Utilized data-driven insights to enhance operational efficiency, streamline processes, and support strategic decision-making within the MIS framework. Gathered, cleaned, and validated data from diverse sources, identifying trends and correlations to align with organizational objectives. Reported and visualized analytical insights and key performance indicators, driving operational efficiencies, cost savings, and revenue growth. Applied statistical techniques and mathematical algorithms for data modeling and

Under Graduate course on Database – Cloud computing – Computer networking – Operating system – Fundamentals of information technology – IT project management – A designing algorithm – Research method. I am supervising a master's thesis in networking which aims to study the novel solution for privacy and security issues in RPL routing protocol by quantitative solution. Running projects on IoT applications by ML and AI methods at the Artificial Intelligence Consortium of Islamic Azad University, Isfahan, Iran

Under Graduate course on Database – Cloud computing – Computer networking – Operating system – Fundamentals of information technology – IT project management – Algorithm designing – Research method. I have supervised a master's thesises in networking and data analysis using ML, NLP, AI and novel methods

I pursued projects concerning the company′ data and gathered data from other international projects due to extracting knowledge from data. As a result of performing machine learning methods, we were able to empower the company′s successful features and avoid possible risks. All models are implemented in Python and R.

Computer Engineering- novel practical framework in reactive routing protocol equipped by the DDoS attack detection method for intelligent IoT-based networks

Computer Science - Diagnosing appendicitis using artificial neural networks, back propagation neural networks, SVM, bayesian based classifier, and random forest.

Mathematics - Application of knowledge graph