Dawood Sayyed

• Problem Solving :- Artificial Intelligence Business
• Problem Solving and Decision Making theory and practices
• Problem Solving Data Analyst with Excel , R , Python , Power BI , Tableau
• Problem Solving Product Development / Project Management

• Implemented reinforcement learning algorithms for autonomous navigation in a simulated business environment, achieving an average success rate of 90%.
• Developed and deployed a natural language processing (NLP) model that improved customer service chatbot response accuracy by 30%, resulting in increased customer satisfaction.
• Designed and implemented a computer vision system using deep learning algorithms, achieving 95% accuracy in product classification tasks.
• Implemented a recommendation system based on collaborative filtering, increasing cross-selling revenue by 25%.
• Developed and trained a predictive model for customer lifetime value (CLV), enabling targeted marketing strategies and contributing to a 10% increase in customer retention.
• Optimized model performance by fine-tuning customer hyperparameters, resulting in a 20% improvement in accuracy.

• Developed and implemented machine learning models for customer churn prediction, resulting in a 15% reduction in customer attrition and an increase in customer retention by 10%.
• Applied natural language processing techniques to sentiment analysis of customer reviews, leading to a 20% improvement in product feedback and customer satisfaction.
• Built a recommendation system using collaborative filtering, increasing cross-selling revenue by 25%.
• Conducted feature engineering and selection, reducing the dimensionality of input data by 30% and improving model performance by 15%.
• Optimized model hyperparameters using grid search and cross-validation, achieving a 12% increase in model accuracy.
• Implemented an anomaly detection system using unsupervised learning algorithms, reducing false positives by 40% and improving detection accuracy by 25%.

• Collaborated with cross-functional teams to develop and implement proactive security measures, resulting in a 20% reduction in successful cyber attacks.
• Performed regular vulnerability assessments and penetration tests, identifying and remediating critical vulnerabilities, reducing the attack surface by 25%.
• Implemented security monitoring systems and tools, resulting in a 30% improvement in detection and response time for security events.
• Conducted security awareness training sessions for employees, raising security awareness and reducing the incidence of social engineering attacks by 15%.
• Conducted vulnerability scans and assisted in patch management processes, reducing the number of critical vulnerabilities by 40%.

• AWS AZURE GOOGLE CLOUD
• AZURE GOOGLE AWS DEPLOYMENT DEVOPS
• Linux security .
• Linux Networking
• Linux Virtualization
• Windows Security
• Malware Security
• Malware Analyst Static and Dynamic.

• Led the implementation of a scalable data pipeline architecture using Apache Airflow, resulting in a 40% reduction in data processing time.
• Designed and implemented CI/CD pipelines for data engineering workflows, enabling automated deployments and reducing deployment time by 50%.
• Implemented infrastructure as code using tools like Terraform, resulting in a 30% reduction in infrastructure provisioning time and increased infrastructure stability.
• Collaborated with cross-functional teams to optimize data storage and retrieval, resulting in a 20% cost reduction in cloud infrastructure spending.
• Implemented monitoring and alerting solutions for data pipelines and systems, improving incident response time by 30% and minimizing downtime.
• Ensured data quality and reliability by implementing automated data validation processes, reducing data errors by 25%.

• Collaborated with cross-functional teams to optimize data storage and retrieval, resulting in a 20% cost reduction in cloud infrastructure spending.
• Implemented monitoring and alerting solutions for data pipelines and systems, improving incident response time by 30% and minimizing downtime.
• Ensured data quality and reliability by implementing automated data validation processes, reducing data errors by 25%.

• Answered and triaged requests for assistance in order to provide top-notch support.
• Actively listened to customers' requests, confirming full understanding before addressing concerns.
• Demonstrated respect, friendliness and willingness to help wherever needed.
• Malware Analyst static and dynamic
• Disassembler, Debuggers, & Information Gathering Narrow down specific information and indicators before moving on to deeper static and dynamic analysis
• RE and PE Understanding of how Delphi application binaries are structure devasion techniques (Anti-Re, Anti-Automation, Anti-VM).
• Identify an encryption algorithm
• Execute an assembly program using the Unicorn Engine.
• Identify a custom packing technique.

10000 Data Servers were secure

• Fault Tolerance
• Robustness
• Error Prevention and Detection
• Monitoring and Logging
• Recovery and Restoration
• Reliability Testing
• Continuous Improvement

By prioritizing software quality reliability, organizations can ensure that their software systems consistently deliver the intended functionality, perform reliably under varying conditions, and minimize the risk of disruptions or failures that could negatively impact users and business operations.

• Assisted in analyzing and interpreting large-scale datasets using SQL and Python, identifying trends and patterns that led to actionable business insights.
• Conducted exploratory data analysis to uncover hidden patterns and relationships, resulting in a 30% reduction in customer churn rate.
• Developed data visualization reports and presentations, effectively communicating findings to non-technical stakeholders.
• Collaborated with the data engineering team to improve data quality and streamline data collection processes.
• Assisted in the development and implementation of machine learning models for sentiment analysis, achieving an accuracy rate of 85%.

• Conducted in-depth data analysis on sales trends, resulting in a $500,000 increase in revenue within the first quarter.
• Collaborated with cross-functional teams to streamline business processes, reducing operational costs by 10% ($200,000) annually.
• Created and presented comprehensive reports and dashboards using Excel and data visualization tools, aiding in executive decision-making.